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Senior People Data Scientist
| Company | Instacart |
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| Location | United States |
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| Salary | $155000 – $207000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- 5+ years of experience in data science roles, preferably in HR or People Analytics.
- Ability to write complex, efficient, and eloquent SQL queries to extract data
- Proficiency in programming languages such as Python or R for machine learning and statistical analysis.
- Experience building and deploying machine learning models (e.g., decision trees, regression, clustering).
- Strong statistical and problem-solving skills, with an emphasis on feature engineering and modeling.
- Familiarity with Snowflake or equivalent data warehousing platforms for model integration.
- Excellent communication skills to convey technical findings to non-technical audiences.
Responsibilities
- Build predictive models to forecast trends such as employee turnover, workforce engagement, and talent needs.
- Develop prescriptive analytics solutions to inform HR strategies and optimize decision-making processes.
- Analyze large datasets from various systems (e.g., Workday, Greenhouse) to uncover actionable insights.
- Implement machine learning frameworks for solving HR-related challenges.
- Harness insights from unstructured or qualitative data sources, such as performance reviews, annual engagement survey comments, or open-text survey responses.
- Develop natural language processing (NLP) models to analyze text data and uncover trends, sentiment, or organizational themes.
- Collaborate with stakeholders to define business problems, translate them into technical solutions, and communicate results effectively.
- Integrate predictive outputs into Snowflake or visualization platforms like Tableau and Looker.
- Partner with HR and data engineering teams to ensure seamless data pipeline management and integrity.
- Maintain a strong focus on data accuracy, security, and compliance.
Preferred Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Experience with HR-specific systems, such as Workday, Greenhouse, or LMS platforms.
- Proven track record of working with HR data and metrics (e.g., turnover, performance, DEI metrics).
- Familiarity with data visualization tools.
- Understanding of data governance and compliance standards.
