Senior Data Scientist – Manufacturing Analytics

Job Title: Senior Data Scientist – Manufacturing Analytics Location: Remote (Candidates located in EST/CST Zone are preferred) Experience: 5–10 Years Employment Type: Full-Time About the Role We are looking for a highly skilled Senior Data Scientist with a strong background in manufacturing and deep expertise in data analytics and data management. The ideal candidate will play a key role in transforming complex manufacturing data into actionable insights, enabling data-driven decision-making across business operations. Key Responsibilities Analyze large-scale manufacturing datasets to identify trends, patterns, and optimization opportunities Develop and deploy predictive and prescriptive models to improve operational efficiency and business outcomes Work closely with cross-functional teams including engineering, operations, and business stakeholders Design and implement scalable data pipelines and data models Translate complex analytical findings into clear, actionable insights for stakeholders Support data visualization and reporting initiatives using BI tools Ensure data quality, governance, and integrity across systems Required Skills & Qualifications 5–10 years of experience in Data Science, Data Analytics, or related roles Strong experience working within manufacturing or industrial domains Proficiency in Python/R and SQL for data analysis and modeling Hands-on experience in data management, data processing, and large datasets Solid understanding of statistical analysis, machine learning techniques, and data modeling Experience with cloud data platforms such as Snowflake, Amazon Redshift, or similar Ability to work in a remote setup aligned with EST/CST time zones Preferred Qualifications Exposure to BI/visualization tools (e.g., Tableau, Power BI, or similar) Experience with data warehousing and ETL processes Strong problem-solving skills and business acumen Excellent communication and stakeholder management skills