| Description | About CommandLink CommandLink is a global SaaS Platform providing network voice services and IT security solutions helping corporations consolidate their core infrastructure into a single vendor and layering on a proprietary single pane of glass platform. CommandLink has revolutionized the IT industry by tackling the problems our competitors create. In recognition for our unprecedented innovation and dedication CommandLink was recognized as the SD-WAN Product of the Year ITSM Visionary Spotlight UCaaS Product of the Year NaaS Product of the Year Supplier of the Year and the AT&T Strategic Growth Partner. CommandLink has built the only IT platform for scale that solves ISP vendor sprawl and IT headaches. We make it easy for our customers to get more done maximize uptime and improve the bottom line. Learn more about us here! This is a 100% remote position About your new role: We are seeking a highly skilled Data Scientist with a strong focus on machine learning model development and deployment. In this role you will design build and operationalize predictive models that drive business impact across our platform. You’ll work closely with engineering product and business teams to turn complex data into scalable production-ready solutions. Key Responsibilities: Design develop and validate machine learning models for classification regression recommendation NLP or time-series use cases. Own the full ML lifecycle: data exploration feature engineering model selection training testing deployment and monitoring. Collaborate with data engineering teams to ensure data pipelines are optimized for modeling and production use. Deploy ML models into production environments ensuring scalability reliability and low-latency performance. Monitor and maintain deployed models performing re-training and tuning as needed to ensure continued accuracy and relevance. Work with product managers and stakeholders to translate business requirements into measurable ML solutions. Research and experiment with emerging ML algorithms frameworks and deployment strategies. What you'll need for success: 3+ years of professional experience as a Data Scientist or ML Engineer. Proven experience building and deploying machine learning models in production environments. Proficiency in Python (Pandas NumPy Scikit-learn PyTorch or TensorFlow). Strong knowledge of model deployment frameworks and tools (e.g. MLflow Kubeflow SageMaker Vertex AI or equivalent). Hands-on experience with cloud platforms (AWS GCP or Azure) for ML workflows. Solid understanding of data structures algorithms and applied statistics. Strong problem-solving skills and the ability to communicate complex ideas clearly to both technical and non-technical audiences. Advanced degree (MS or PhD) in Computer Science Data Science Statistics Operations Research or related field. Nice to Have Experience with MLOps best practices (CI/CD pipelines for ML monitoring and governance). Exposure to big data technologies (Spark Databricks Kafka). Background in deep learning NLP or computer vision applications. Why you'll love life at CommandLink Join us at CommandLink where you'll have the opportunity to shape the future of business communication. We value the innovative spirit and seek individuals ready to bring their unique vision and expertise to a team that values bold ideas and strategic thinking. Are you ready to make an impact? Room to grow at a high-growth company An environment that celebrates ideas and innovation Your work will have a tangible impact Generous Medical Dental and Vision coverage for full-time employees Flexible time off 401k to help you save for the future Fun events at cool locations Free DoorDash lunches on Fridays Employee referral bonuses to encourage the addition of great new people to the team Commandlink hires individuals in a number of geographic regions and the pay ranges listed reflect the cost of labor across these regions. The base pay for this position as displayed at the bottom of the job description is a range based on our lowest geographic region up to our highest geographic region. Pay is based on location among other factors such as skill-set experience and qualifications held. The pay range for this role is: 150000 - 250000 USD per year(Remote (United States)) |