Offer summary

Qualifications:

5+ years of experience in data science roles, preferably in HR or People Analytics., Proficiency in SQL and programming languages such as Python or R for machine learning., Strong statistical and problem-solving skills, with experience in building and deploying machine learning models., Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field..

Key responsibilities:

Build predictive models to forecast trends like employee turnover and workforce engagement.

Develop prescriptive analytics solutions to inform HR strategies and optimize decision-making processes.

Analyze large datasets to uncover actionable insights and implement machine learning frameworks for HR challenges.

Collaborate with stakeholders to define business problems and communicate technical findings effectively.

Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

About the Role

We are seeking a highly skilled and motivated Senior Data Scientist to join our People
Analytics team. This position focuses on developing advanced predictive and prescriptive models
to drive strategic insights for our organization. The ideal candidate should have robust analytical
skills, be proficient in machine learning, and have experience in using HR data to provide insights
that assist with business and employee decisions.

About the Team

Our People Analytics team, part of the broader People Services Delivery organization,
plays a critical role within the overall People Team. We are a small but impactful function
dedicated to leveraging data to drive strategic decisions and create value for the business.
Collaborating closely with internal partners and cross-functional stakeholders, we provide insights
and solutions that align with our company’s goals and enhance the employee experience. Joining
our team means bringing curiosity, technical expertise, and creativity to help shape the future of
our workforce through data-driven decision-making.

About the Job

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.

About You

Minimum Qualifications

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

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

#LI-REMOTE

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$186,000—$207,000 USD

$179,000—$199,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$171,000—$190,000 USD

All other states

$155,000—$172,000 USD

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