Senior Data Engineer
Listed on 2026-06-18
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Key Responsibilities
- Data Analysis & Insight Generation:
Analyze large and complex datasets to extract meaningful insights that drive business outcomes. Communicate findings and recommendations through reports, dashboards, and presentations. - Data Engineering & Preparation:
Clean, preprocess, and transform raw data for analysis and modeling. Collaborate with data engineering teams to ensure data availability and quality. - Collaboration with Stakeholders:
Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions. Translate business problems into analytical frameworks. - A/B Testing & Experimentation:
Design and analyze A/B tests to measure the impact of product changes and marketing campaigns. Provide statistical rigor in experimentation and decision-making. - Research & Innovation:
Stay up-to-date with the latest developments in data science, machine learning, and AI. Propose innovative approaches and solutions for complex problems.
- Education:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. - Experience:
5+ years of experience in data science or a related field. Hands‑on experience with data analysis, machine learning, and statistical modeling. - Technical
Skills:
Proficiency in Python, R or similar technologies for data analysis and modeling. Strong experience with data manipulation libraries (e.g., Pandas, Num Py) and machine learning libraries (e.g., Scikit‑Learn, Tensor Flow, PyTorch). SQL proficiency for data extraction and transformation. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.
- Medical, Dental & Vision Benefits
- 401(k) Savings Plan with Company Match
- Flexible Planned Paid Time Off
- Generous Sick Leave
- Inclusive & Welcoming Environment
- Purpose-Driven Culture
- Work-Life Balance Commitment to Community Involvement
- Employer-Paid Parental Leave
- Employer-Paid Short-Term Disability
- Remote Work Flexibility
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.
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