Senior Data Scientist – Manufacturing Analytics
Role summary
Seeking a Senior Data Scientist with 5-10 years of experience and a strong background in manufacturing and data analytics. This remote role involves transforming manufacturing data into actionable insights to drive data-driven decisions. Responsibilities include analyzing large datasets, developing predictive models, designing data pipelines, and ensuring data quality. Proficiency in Python/R, SQL, cloud data platforms (Snowflake, Redshift), and statistical/machine learning techniques is required. Experience in manufacturing or industrial domains is essential.
Job Title: Senior Data Scientist – Manufacturing Analytics (Remote, US Time Zones)
Location: Remote (Candidates located in EST/CST Zone is 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
Pay: $101,000.00 - $170,000.00 per year
Benefits:
- 401(k)
- Flexible schedule
- Health insurance
Work Location: Remote