Data Scientist

Job Description:

Role Overview

In this role, you will leverage your strong data analysis and modeling skills to build data
products that offer our clients valuable insights into their performance and the competitive
landscape. You will work with diverse 1st and 3rd party data sources-including email receipt
data, clickstream data, web scraped data, and more-to develop insights into consumer
purchasing behavior and brands' market share performance. You will apply skills in
predictive modeling, statistics and panel projection methodologies to build estimates of
product performance and the drivers of that performance.
You will report directly to the VP of Data Science and work with a small team of data
scientists in close collaboration with partners in the Engineering, Product and Operations
teams to develop and deliver the output of your models to clients. The role will primarily
focus on R&D efforts to evaluate data sources and build the models to produce estimates of
key metrics,with deployment and operational aspects of the products primarily supported by
partner teams.

Key Responsibilities:

Creative Problem Solving: Use critical and creative thinking to develop custom solutions,
moving beyond out-of-the-box algorithms to effectively address client business problems.
● Data Integration & Modeling: Develop models and algorithms to integrate multiple
complementary data sources, transforming raw data into actionable insights.
○ Develop projection methodologies and predictive models for estimating
product performance metrics from each of the available data sources
○ Develop and evolve methodologies for combining modeled estimates from
multiple overlapping sources in a scalable and maintainable framework
● Data Source Evaluation: Assess potential new data sources for integration into our
existing products, enhancing the quality and breadth of insights provided.
● Ad-Hoc Analysis: Conduct ad-hoc analyses to resolve production issues and
address client-specific data inquiries related to modeled outputs.

Education & Experience:

● 3-5 years of experience in a Data Science role, bueveloping analytical insights.
● BE Computer Science degree.
Technical Skills:
● Strong quantitative skills in data interpretation, visualization, and statistical analysis.
● Proficiency in database structures and SQL.
● Hands-on experience with at least 3 years of experience with programming
languages and modeling packages such as Python, R, or Spark, including libraries
like scikit-learn, NumPy, and pandas.
● Experience working with large datasets and optimizing data analysis processes at
scale.

Preferred Qualifications:

● 2-3 years experience with consumer panel data and alternative data sources such as
email receipts, clickstream, credit card transactions, surveys, or web scraped data.
● Experience with parallel processing frameworks like Snowflake, Spark.
● Working knowledge of cloud computing platforms such as AWS, Google Cloud
Platform, or Azure (AWS preferred).
● Strong communication skills, with the ability to articulate complex technical concepts
to both technical and non-technical audiences.
● Please provide references to prior work demonstrating your Data Science skills
(Github repo or similar)

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