Senior People Data Scientist

Instacart; Manitoba; Remote; CAD 158,000 - 175,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to join their People Analytics team. This role involves developing predictive and prescriptive models to drive strategic insights, focusing on HR data to enhance decision-making processes. The ideal candidate will have robust analytical skills, proficiency in machine learning, and experience with data visualization tools. With a flexible work environment, this position offers a unique opportunity to shape the future of workforce analytics while collaborating with cross-functional teams. If you're passionate about leveraging data to influence business strategies, this role is perfect for you.

Qualifications

• 5+ years in data science, preferably in HR or People Analytics.
• Proficient in SQL and programming languages like Python or R.
• Experience with machine learning model deployment.

Responsibilities

• Build predictive models for employee turnover and workforce engagement.
• Analyze large datasets to uncover actionable insights.
• Collaborate with stakeholders to define business problems.

Skills

SQL

Python

Machine Learning

Statistical Analysis

Natural Language Processing (NLP)

Data Visualization

Education

Bachelor's degree in Data Science

Master's degree in Statistics

Tools

Snowflake

Tableau

Looker

Workday

Greenhouse

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. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

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

CAN

$158,000—$175,000 CAD