Data Scientist & Product Analytics - REMOTE

About the role

Job Description

We are seeking an experienced Data Scientist to develop and deploy end-to-end machine learning models that drive actionable business insights. The ideal candidate will build scalable ML pipelines, implement real-time ML models, and integrate these models into production environments. This role requires continuous monitoring and retraining of models to ensure optimal performance and data quality. Key Responsibilities: • Develop, test, and deploy machine learning models for predictive analytics and decision support. • Build scalable and efficient ML pipelines to process large datasets. • Implement real-time machine learning models and integrate them into production systems. • Continuously monitor model performance and retrain models as needed. • Process, clean, and improve data quality for model training and analysis. • Conduct statistical analysis, feature engineering, and data mining to extract insights. • Create data visualizations and communicate findings effectively to stakeholders. • Collaborate with software engineers, data engineers, and IT teams for seamless integration and deployment. • Stay current with advancements in machine learning frameworks, tools, and best practices. • Ensure compliance with data security, privacy, and responsible AI/ML practices.

Skills and Requirements

• Proficiency in Python, R, and SQL for data manipulation and analysis. • Experience with big data technologies such as Apache Spark, Hadoop, Hive, and cloud data platforms. • Familiarity with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn. • Knowledge of natural language processing techniques and tools. • Experience with data visualization tools such as Tableau. • Understanding of MLOps, CI/CD pipelines, and container orchestration tools like Kubernetes and Docker. • Strong statistical modeling and predictive analytics skills. Soft Skills: • Excellent problem-solving and analytical abilities. • Strong communication skills to explain complex models in clear, non-technical terms. • Collaborative mindset to work effectively in cross-functional teams. • Curiosity and a continuous learning attitude to keep pace with evolving AI/ML technologies. • Project management skills to handle multiple tasks and deadlines efficiently. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Minimum of 7 years of professional experience in data science or related roles. • Proven track record of deploying machine learning models in production environments. • Experience with responsible AI principles and data governance is a plus.

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, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, 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 the recruiting process, please send a request to HR@insightglobal.com.

Posting text as published by Insight Global.

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Remote Matched in posting text

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Location as listed

Cedar Fork, NC

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