Arcadia is dedicated to happier healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research drive strategic growth and achieve financial success. For more information visit arcadia.io.Why This Role Is Important to ArcadiaThe Associate Data Scientist will join Arcadia’s Data Science team as a key contributor to the development of machine learning models customer-facing deliverables and strategic insights that support data-driven decision-making across the organization. This role reports to the Senior Director of AI and Predictive Modeling and represents a pivotal step in the evolution of Arcadia’s machine learning initiatives.The ideal candidate will bring experience in machine learning techniques statistical analysis and healthcare data—particularly in value-based care models. A strong desire to continuously learn and adapt is essential. Effective communication is critical as this role involves working cross-functionally engaging with clients and translating complex technical concepts for both subject matter experts and non-technical stakeholders.What Success Looks LikeIn 3 months- Gain a solid understanding of Arcadia’s data model ingestion workflows and machine learning deployment processes- Become proficient with the team’s core data tools including Redshift Athena S3 SageMaker and dbt- Deliver initial analytics and insights that showcase measurable value to customersIn 6 months- Establish yourself as a subject matter expert on Arcadia’s analytics platform and methodologies - Proactively engage with customers to understand their data needs and identify opportunities for model improvements - Design and develop machine learning models that generate meaningful business value and strengthen client trust in ArcadiaIn 12 months- Be recognized as a go-to resource for machine learning expertise across the company- Lead cross-functional initiatives to enhance analytics workflows and improve data accessibility and usability- Drive multiple concurrent projects in collaboration with client stakeholders consistently delivering expert guidance and impactful results ➡ What You'll Be Doing ➡ Manage and execute projects across a diverse customer portfolio ensuring timely and high-quality deliverablesDesign and develop machine learning models for both internal initiatives and client-specific use casesEvaluate and monitor model performance ensuring accuracy reliability and alignment with business objectivesPresent findings methodologies and insights to clients in a clear and compelling manner What You'll Bring ➡ Bachelor’s degree in a relevant field such as Data Science Statistics Computer Science or a related discipline1+ years experience working with healthcare data including familiarity with claims clinical or operational datasets1+ years demonstrated experience in developing and deploying machine learning models in real-world applications Would Love For You To Have ➡ Strong analytical and problem-solving mindset with attention to detail and a passion for data-driven decision-makingEagerness to learn and adapt in a fast-paced evolving environmentExcellent communication and collaboration skills with the ability to work cross-functionally and engage with both technical and non-technical stakeholdersCustomer-focused with a proactive attitude toward identifying opportunities and delivering valueProficiency in Python and common data science libraries (e.g. pandas scikit-learn NumPy etc.)Experience with SQL and working with large-scale relational databasesFamiliarity with cloud-based data tools such as Redshift Athena S3 SageMaker and GithubKnowledge of machine learning model evaluation performance tuning and deployment best practices What You'll Get ➡ The opportunity to analyze large and diverse data set on Arcadia’s custom data platformSupport a wide variety of customers in the healthcare spaceA collaborative team with decades of collective experienceCompetitive compensation benefits and flexible time offBe a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive careA flexible remote friendly company with personality and heartEmployee driven programs and initiatives for personal and professional development  ➡ About ArcadiaArcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data applying algorithms to identify opportunities to provide better patient care and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS IDC Forrester and Chilmark for our leadership. For a better sense of our brand and products please explore our website.Protect YourselfIf you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information visit our website.This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles the responsibilities would be further defined by the hiring manager.

The data science team at Outseer works to create predictive models that protect people from identity and payment fraud. As a Senior Data Engineer within Outseer you will work on our core risk engine development team collaborating closely with our data sciences team to support and enhance our risk models. Utilizing Java Python and Unix technologies our platform is robust and highly effective.  Essential Duties Agile Development: Engage in the full product lifecycle including planning design development testing and project delivery adhering to our standards. Cloud and On-Premises Work: Work with both Azure cloud platform and on-premises environments. Documentation: Create and present Software Requirement Specifications (SRS) and high-level design documents. ETL and Data Pipelines: Design and implement ETL processes and data pipelines for analytics and data warehousing. Application Development: Develop applications and tools to support the development testing and monitoring of analytics pipelines. Proof of Concept (POC): Conduct POC experiments on new ideas and techniques. Data Quality: Perform data quality analysis monitoring and cleaning. Pipeline Support: Support the testing deployment and production activities of data pipelines across multiple platforms. Team Collaboration: Review and provide feedback on the work of other team members. Desired Requirements Bachelors Degree or equivalent in Computer Science. Designing implementing running and monitoring data pipelines and cloud engineering via Terraform Bicep etc.  Designing ETL flows for machine learning and analytical workflows. Data stack of at least one cloud provider preferably Azure. SQL Proficiency Pipeline Tools such as Airflow Azure Data Factory Synapse or similar tools. Scientific Python stack including pandas numpy and pyspark.  Take ownership of large development tasks and lead them.   Desire and ability to learn new techniques and languages to solve new problems.  Excellent verbal and written English. Desired Behaviors Adaptability: Demonstrates flexibility and openness to change. Actively seeks and adopts improved approaches and processes. Proactive Action: Takes initiative and is driven by results. Takes ownership of actions and outcomes meeting commitments and striving for high performance. Effective Workload Management: Makes timely decisions prioritizes tasks effectively solves problems monitors results and takes corrective action when necessary. Technical Proficiency: Possesses a solid understanding of their role and responsibilities demonstrating competence in performing tasks and utilizing relevant technical skills. Continuous Learning: Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement actively seeks feedback and embraces opportunities to learn. Effective Communication: Demonstrates strong facilitation and written communication skills. Clearly articulates ideas and proposals actively listens to colleagues' perspectives and values diverse viewpoints. Collaboration: Shares information fosters teamwork and contributes to a positive work environment. Actively collaborates with others and encourages a sense of unity and cooperation among team members. Ethical Conduct and Competence: Acts with integrity and intent displaying ethical character in all actions. Takes accountability for one's own behavior and aligns actions with the company's values and principles. Good Citizenship: Represents the values and interests of Outseer. Acts as a positive ambassador for the company and contributes to the overall well-being and success of the organization.   Outseer is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Outseer are based on business needs job requirements and individual qualifications without regard to race color religion or belief national social or ethnic origin sex (including pregnancy) age physical mental or sensory disability HIV Status sexual orientation gender identity and/or expression marital civil union or domestic partnership status past or present military service family medical history or genetic information family or parental status or any other status protected by the laws or regulations in the locations where we operate. Outseer will not tolerate discrimination or harassment based on any of these characteristics. Outseer encourages applicants of all ages.

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment we offer highly competitive compensation and benefits packages technology talks by our experts a beautiful modern office daily catered lunches and more.The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation analysis interpretation visualization and communication of your findings to members of the research staff and executive leadership.  This role is a means to make a difference: as a machine learning company data insights are essential to our business.   ➡ Responsibilities ➡ Design and implement systems to ensure data correctness and monitor data health in data stores and live feedsProactively identify abnormal production behavior and communicate them clearly to relevant stakeholdersPerform extemporaneous analyses on research and production trading systems with leadership   Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systemsDesign and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements ➡ 1+ years of applied end-to-end industry experience including internships working with complex datasets including curation querying aggregation exploratory data analysis and visualizationExperience using statistical methods to analyze data identify patterns conduct root cause analysis discover insights and recommend solutionsAbility to frame and answer questions mathematicallyAbility to infer useful forward-looking directions from results of retrospective analysisFluency in managing processing and visualizing tabular data using a combination of SQL Pandas and RBasic software development skills and experience with bash linux/unix and gitAbility to refine requirements from ambiguous requests to produce reports demonstrating excellence in communicationBachelor’s degree in a quantitative discipline (statistics biostatistics data science computer science or a related field) Preferred ➡ Master’s degree in a quantitative disciplinePrior industry experience or displayed interest in finance such as related academic projects coursework in financial engineering or industry internships Experience developing in a production-facing environment and familiarity with standard concepts and tooling e.g. CI/CD git Airflow ➡ CompensationThe base salary range for this position is $150000 to $190000 in the location(s) of this posting. Individual salaries are determined through a variety of factors including but not limited to education experience knowledge skills and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical dental and vision coverage life and AD&D insurance 20 days of paid time off 9 sick days and a 401(k) plan with a company match.“Friends of Voleon” Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $7500 if your referred candidate is successfully hired and employed by The Voleon Group please use this form to submit your referral. For more details regarding eligibility terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity EmployerThe Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race color religion creed national origin age sex gender marital status sexual orientation and identity genetic information veteran status citizenship or any other factors prohibited by local state or federal law. Vaccination RequirementThe Voleon Group has implemented a policy requiring all employees who will be entering our worksite including new hires to be fully vaccinated with the COVID-19 vaccine.  This policy also applies to remote employees as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community and to support public health efforts.#LI-MD1

Somos Prex una empresa regional de tecnología enfocada en el desarrollo de productos financieros confiables innovadores y transparentes para promover la inclusión financiera. Nuestros usuarios ingresan a un ecosistema amigable donde llevan el control total de sus finanzas gracias a nuestra APP que no tiene barreras ni límites geográficos. Valoramos y respetamos la diversidad buscando crear un ambiente de trabajo inclusivo.  Seguimos creciendo y estamos buscando un Data Scientistpara formar parte de nuestro equipo de Data Science & Analytics. ¡Nos encanta formar parte de #Prex y esperamos que te sumes a este gran team!  ¿Cuál será tu misión?    Aplicar y proponer técnicas de análisis de datos y métodos cuantitativos para generar insights y mejoras significativas para nuestros productos y el negocio.  Desafíos y Oportunidades  Proponer diseñar y ejecutar proyectos de Data Science incluyendo planteo y test de hipótesis análisis estadístico experimentación (ej.: A/B testing) con el objetivo de responder a preguntas de negocios clave y validar supuestos e hipótesis.  Colaborar con el resto de las áreas de la empresa para traducir necesidades de negocio en soluciones basadas en datos.  Aplicar metodologías de análisis robustas y reproducibles mantener buenas prácticas relacionadas al código control de versiones y documentación de proyectos.  Crear y mantener dashboards con el objetivo de rastrear métricas y compartir información hacia el resto de la compañía    ¿Qué buscamos?  Profesionales o estudiantes avanzados de Economía Estadística Contador Ingeniería Industrial o carreras afines.  Experiencia mayor a 3 años en análisis de datos y/o Data Science. Valoramos haber utilizado técnicas de ML para responder preguntas de negocio y descubrimiento de insights y patrones.  Experiencia trabajando con equipos multidisciplinarios en particular interpretando y traduciendo requerimientos de negocio a tareas a resolver datos.  Dominio avanzado de Python en particular librerías orientadas a manipulación de datos análisis y desarrollo de modelos de ML (pandas scikit-learn matplotlib seaborn plotly etc.).  Sólido manejo de SQL (joins complejos CTEs subqueries optimización de performance de queries).  Mindset analítico y orientado a resultados con foco en resolución de problemas a partir de datos.  Habilidad para comunicar efectivamente resultados complejos a distintos tipos de audiencias no técnicas.   Se valorará contar con experiencia utilizando QuickSight o alguna otra herramienta de visualización de datos basada en la nube (ej.: Tableau Looker)    ¿Qué ofrecemos?  Una cultura orientada al desarrollo de las personas donde escuchamos e impulsamos las ideas de forma genuina comprometidos con el respeto y la autenticidad de cada miembro de nuestros equipos.  Ambiente de trabajo flexible.  Más días de vacaciones.  Cobertura de medicina prepaga.  Programa de Bienestar.  Beneficios en plataformas de capacitación y aprendizaje.  Clases de inglés.  Cumple Flex.  Cuenta en Uruguay bonificada para ahorrar en dólares con el mejor tipo de cambio.  Días de trabajo remoto.  Oficina en CABA y espacios en coworks en el interior del país.  ¿Ya nos conocías?  Descarga la APP desde tu celular y pedí tu tarjeta prepaga internacional ¡gratis!  Para más información accede a nuestros sitios.  miprex.com  #LI-BP1

About the organization Armed Conflict Location & Event Data (ACLED) is a disaggregated data collection analysis and crisis mapping institution. The ACLED team collects conflict information conducts analysis to describe explore and test conflict scenarios and makes both data and analysis open for free use by the public. ACLED’s work is regularly used to inform journalism academic research and public discourse on conflict and to support practitioners and policymakers. ACLED is the highest quality and most widely used real-time data and analysis source on political violence and protest around the world. The Role ACLED is recruiting an Associate Data Scientist to assist with data science projects focused particularly on natural language models. The Associate Data Scientist will work closely with ACLED’s Data Scientist and Head of Data Science.  This position is fully remote and can be done from any location with reliable internet service. This position is open to nationals of any country. For more information please review the Applicant FAQs. Please submit your salary range for consideration. Specific roles and responsibilities The Associate Data Scientist will be responsible for the following tasks:  Assisting the Data Scientist in the application of statistical machine learning and natural language processing methods to specific questions using ACLED data. Update monitor and help improve ACLED’s existing machine learning models. Adapt large language models for ACLED use cases including question-answering translation named entity recognition and classification. Engage in data preparation for analysis or bespoke projects. Deploy models and data pipelines on cloud-based platforms. Other ad hoc data science tasks. Skills and competencies: Required: Advanced Python and R skills. 2 to 3 years of professional experience in a data science role.  Strong analytical background including statistics and machine learning. Proven experience in natural language processing. Strong critical thinking skills. Experience working to deadlines with limited supervision. An extremely high level of attention to detail. Flexible team player especially across a remote global team. Willingness to work with a supervisor based in US time zones. Fluency in English. Bachelor's degree required Master’s preferred. Relevant work and/or research experience may substitute for a Master’s degree. Preferred Familiarity with ACLED’s data and methodology. Research focus or professional experience in conflict research peacebuilding and/or international development. Familiarity with version control via Git and GitHub. Familiarity with cloud-based computing. Familiarity with additional programming languages beyond R and Python such as JavaScript or Julia. Experience with a remote work environment. Applications: To apply please submit a CV and cover letter detailing qualifications experience and salary requirements. Further information is available online at acleddata.com. Applications will be reviewed on a rolling basis. Interested candidates are advised to apply early.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security user fund transparency trading engine speed deep liquidity and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education research payments institutional services Web3 features and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.We are seeking a highly skilled and motivated Data Scientist to join our team focusing on the development of domain AI agents for specific operational tasks handling  The ideal candidate will also have expertise in traditional Optical Character Recognition (OCR) and computer vision technologies. This role require some engineering experience to work closely with developers to integrate the solution to our existing systems. ➡ Responsibilities ➡ Design fine-tune and deploy Large Language Models (LLMs) for AI agent applications.Implement Retrieval-Augmented Generation (RAG) pipelines to enhance the performance of AI agents in retrieving and generating contextually accurate responses.Develop and optimize traditional OCR systems for document digitization and text extraction tasks.Integrate OCR outputs with LLM-based AI agents to create seamless workflows for information processing.Collaborate with cross-functional teams to identify use cases gather requirements and deliver tailored AI solutions.Conduct data preprocessing feature engineering and model evaluation to ensure robust performance.Stay updated on the latest advancements in LLMs RAG frameworks computer vision and OCR technologies.Document methodologies experiments and results for internal knowledge sharing. Requirements ➡ Master’s or Ph.D. in Computer Science Data Science Machine Learning or a related field.Strong experience with LLM fine-tuning (e.g. GPT models BERT) and familiarity with frameworks like Hugging Face or OpenAI APIs.Proficiency in traditional OCR techniques using tools such as PaddleOCR models.Strong programming skills in Python familiarity with libraries like PyTorch TensorFlow Scikit-learn or similar.Experience with cloud platforms (AWS Azure GCP) for deploying machine learning models at scale.Excellent problem-solving skills and the ability to work independently or as part of a team. ➡ Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application you confirm that you have read and agree to our Candidate Privacy Notice.

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.If you’re looking for a fast-paced mission-driven organization where opportunities to learn and excel are endless then Binance is the place for you. ➡ Responsibilities ➡ Working closely with Fin Crime & Compliance team to improve work efficiency as well as mitigate compliance risk.Interpret data and translate statistical insights into actionable decisions to drive operational  effectiveness and efficiency.Lead the development maintenance and definition of specific compliance systems (such as AML detection engine).Help maintain existing in production models support audit requests which include : QA testing and continuous improvement initiatives.Identify new business improvement opportunity and lead the end to end development from proof of concept to production deployment. Requirements ➡ Bachelor's Degree (or above) in quantitative discipline  PHD will be a plus.8 years of hands-on experiences as Data Scientist within financial tech blockchain companies preferably exposure in onchain analysis. Proficient in python SQL with demonstrated experience build & maintain in production ML models use AWS suits.Down to earth  willing to take ad-hoc data analysis requests as well as leading end to end development of products.Good tracking of international cutting-edge technology proficient in reading English documents of international conferences and journals and applying them to engineering practice. ➡

ezCater is the leading food for work technology company in the US connecting anyone who needs food for their workplace to over 100000 restaurants nationwide. For workplaces ezCater provides flexible and scalable solutions for everything from recurring employee meals to one-off meetings all backed by 24/7 customer service with real humans. ezCater also enables companies to manage their food spend in a single customizable platform. For restaurant partners ezCater helps them grow their business by bringing them more orders and new high-value customers.  We're backed by top investors including Insight Iconiq Lightspeed GIC SoftBank and Quadrille. Critical to ezCater’s future growth is how we transform rich customer-centric data assets into value-added intelligent models that power our customer-facing product solutions. As a Lead Data Scientist you will play a pivotal role in designing developing and deploying data science and ML models to revolutionize our business and transform customer's experience of Food For Work. You will drive development prototyping and rapid iteration of models while ensuring these models demonstrate tangible measurable business value.  You will also lead innovation of advanced data science methods and models at ezCater identifying means to rapidly mature our data science practices throughout our product.  This role is ideal for an individual who can deliver on open-ended questions and thrives on tackling challenging data science problems through hands-on coding to develop impactful solutions.   What You'll Do: Predictive Modeling and Optimization: Develop predictive models to forecast user behavior identify trends anticipate customer needs and optimize our offerings contributing to data-driven decision-making in product development. Apply the latest AI technologies to enhance ezCater’s product.  Machine Learning Model Integration: Partner with our ML team to integrate data science models and algorithms into the product in the most valuable and effective manner including providing personalized experiences recommendations and features for users. Data Analysis and Interpretation: Use advanced statistical techniques such as Bayesian and causal inference to analyze large datasets extract meaningful insights and provide actionable recommendations for product improvements. Continuous Learning: Stay up-to-date with the latest developments in data science machine learning AI and relevant industry trends applying these insights to your work. As an individual contributor be the advisor and subject matter expert for structural design of data analysis experiments and modeling for your domain advance innovation and improvements to the analytics techniques approaches and processes used across the company. What You Have: 5-7 years experience in data science statistics computer science or a related field performing statistical modeling and quantitative and technical analysis ideally with experience in marketplace or e-commerce environments. Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap. Experience in deploying and maintaining data science & machine learning algorithms that are widely used and adopted. Demonstrated proficiency in explaining complex analysis to stakeholders at all levels of the organization and translating conclusions into straightforward actionable business recommendations and strategic direction. Includes creating clear and compelling visualizations to communicate complex data. Demonstrated ability collaborating with cross-functional teams including product managers engineers analysts and designers to define and address key business challenges using data-driven approaches. Self-directed and demonstrated ability to define prioritize and direct analytics initiatives Proficiency in SQL Python and Python libraries such as Pandas Numpy and scikit-learn. Knowledge of data science / ML modeling approaches (e.g. time series forecasting logistic regression and gradient-boosted decision trees). Experience partnering with business teams on nimble and rapid model development. Be able to own and deliver projects/programs both on your own and as a member of a broader team. Experience in 2-sided marketplaces for both B2C and B2B customers is a plus. The national cash compensation range for this role is $160000 - $200000 per year. Please note: Final offer amounts are determined by multiple factors including prior experience expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity 401K or medical dental or vision insurance). Please have fun with the Cover Letter portion of the application! It does not need to follow “traditional” cover letter guidelines - we would love for you to write 150-500 words explaining why you are interested in ezCater and the role and highlighting anything else you think we should know! ezCater does not sponsor applicants for work visas or legal permanent residence. What You’ll Get from Us: You’ll get a terrifically compelling experience in an innovative high performing environment. You’ll get to work with engaged and passionate colleagues on challenging and impactful projects. You will have opportunities to grow in your career and work in a  place that values work/life harmony.  Oh and you’ll get all this: Market competitive salary stock options that you’ll help make worth a lot 12 paid holidays flexible PTO 401K with ezCater match health/dental/FSA long-term disability insurance mental health and family planning resources remote-hybrid work from our awesome Boston office OR your home OR a mixture of both home and office a tremendous amount of responsibility and autonomy wicked awesome co-workers Relish (and many more goodies) when you’re in our office and knowing that you helped transform the food for work space. ezCater is an equal opportunity employer. We embrace humans of every background appearance race religion color national origin gender gender identity sexual orientation age marital status veteran status and disability status. At the same time we do not employ jerks even brilliant ones. For information on how ezCater collects and uses job applicants' personal information please visit our Job Applicant Privacy Policy. #BI-Remote 

"Lensa is the leading career site for job seekers at every stage of their career. Our client Insight Global is seeking professionals. Apply via Lensa today! Job Description Insight Global's healthcare client is hiring for a highly skilled and experienced Data Scientist to support and enhance their AI-powered knowledge assistant tool that empowers customer service representatives by intelligently searching across 30+ data sources and delivering natural language responses to member inquiries in real time. In this role you will be responsible for developing and maintaining data pipelines that integrate with 15+ systems designing algorithms to improve search relevance and response accuracy and leveraging tools like Python SQL BigQuery and Excel within a Google Cloud Platform (GCP) environment. Youll collaborate with cross-functional teams to implement NLP and GenAI features ensure data quality through unit testing and software engineering best practices and contribute to the continuous improvement of the customer support experience through data-driven insights and innovation. This role is fully remote. We are a company committed to creating inclusive environments where people can bring their full authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race religion sex age marital status national origin sexual orientation citizenship status disability or any other status or characteristic protected by applicable laws regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC ""Know Your Rights"" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12ScreenRdr.pdf) . To learn more about how we collect keep and process your private information please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills And Requirements 510 years of professional experience in data science Strong proficiency in Python for data analysis automation and AI integration. Experience with SQL for querying and managing large datasets. Excel for data manipulation and reporting. Hands-on experience working with Google Cloud Platform Experience with BigQuery Experience with Generative AI and prompt engineering. Background in software engineering and unit testing. null We are a company committed to creating diverse and inclusive environments where people can bring their full authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race color ethnicity religionsex (including pregnancy) sexual orientation gender identity and expression marital status national origin ancestry genetic factors age disability protected veteran status military oruniformed service member status or any other status or characteristic protected by applicable laws regulations andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process please send a request to HR@insightglobal.com."

Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care pharmacy benefits data and resources they need to feel their best. Here you will find a culture guided by inclusion talented peers comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Optum Health Financial Data Management team is looking to hire a Senior Data Scientist to oversee all core analytical activities within Optum Health Finance & Accounting with an emphasis on designing analytics applications to support the presentation and analytical review of financial information. This role will work closely with business analysts and data engineers to ensure we deliver performant quality solutions that address customer needs. This includes but is not limited to analysis design coding testing documentation research and development maintenance new development operations and delivery. With every role in the company each position has a requirement for building quality into every output. This also includes evaluating new tools AI and machine learning applications new techniques and strategies Automation of common tasks build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Work with business to develop and operationalize analytic solutions Using common framework(s) build and deploy front-end solutions built upon managed infrastructure to create end-user solutions. Engage in communications for all important functions including data understanding/exploration strategizing solutions etc. Work with autonomy and in partnership with other Data Scientists Data Engineers and Software Engineers to find solutions to complex problems Leverage technical / analytical expertise across the enterprise to architect deploy and oversee analytics and technology solutions Prototype new products and solutions around machine learning and innovation Ability to articulate and paint a vision with strong communication and presentation skills as well as strengths in translating highly complex concepts results models and technologies in ways that can be understood by a variety of audiences Communicate analytic results and predictive models to business partners Apply knowledge of statistics machine learning programming data modeling simulation and advanced mathematics to recognize patterns identify opportunities pose business questions and make valuable discoveries leading to prototype development and product improvement You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Preferred Qualifications: Extensive programming experience with Python/Pyspark or other analytics languages Experience in analytics / data science in a business or academic context Demonstrated experience using programming to solve complex technical problems Demonstrated experience accessing data from various data environments Experience developing analytical solutions on cloud computing platforms i.e. Azure Snowflake Experience applying computational algorithms and statistical methods to structured and unstructured data Proven ability to break down and clearly define problems Demonstrated ability to own and deliver projects that deliver real business value Proven solid communication presentation and influencing skills All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy The salary range for this role is $89800 to $176700 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets education work experience certifications etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary UnitedHealth Group offers benefits such as a comprehensive benefits package incentive and recognition programs equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group you’ll find a far-reaching choice of benefits and incentives. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race gender sexuality age location and income–deserves the opportunity to live their healthiest life. Today however there are still far too many barriers to good health which are disproportionately experienced by people of color historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race national origin religion age color sex sexual orientation gender identity disability or protected veteran status or any other characteristic protected by local state or federal laws rules or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.