The Role
The Senior Data and Applied Scientist will design machine learning models, analyze data, optimize solutions, and collaborate across teams to enhance business operations.
Summary Generated by Built In
As a Senior Data and Applied Scientist, you will work with Pattern's Data Science team to curate
and analyze data, and apply machine learning models and statistical techniques to solve business
problems across the organization. Most of your work will revolve around logistics and operations.
and analyze data, and apply machine learning models and statistical techniques to solve business
problems across the organization. Most of your work will revolve around logistics and operations.
What you’ll do:
● Design, build, and maintain predictive machine learning models and simulations to optimize
solutions across Pattern.
● Communicate potential model improvements, data needs, and opportunities across relevant
business units and developer teams.
● Continuously optimize the quality of our machine learning models.
● Conduct research to integrate new data sources, innovate in feature engineering, fine-tune
algorithms, and enhance data pipelines for robust model performance.
● Analyze large datasets to extract actionable insights that guide business decisions.
● Work closely with data science teams across different regions (US and India), ensuring seamless
collaboration and knowledge sharing.
● Follow code standards and best practices.
● Perform root cause analysis to determine accuracy defects and drive improvements.
solutions across Pattern.
● Communicate potential model improvements, data needs, and opportunities across relevant
business units and developer teams.
● Continuously optimize the quality of our machine learning models.
● Conduct research to integrate new data sources, innovate in feature engineering, fine-tune
algorithms, and enhance data pipelines for robust model performance.
● Analyze large datasets to extract actionable insights that guide business decisions.
● Work closely with data science teams across different regions (US and India), ensuring seamless
collaboration and knowledge sharing.
● Follow code standards and best practices.
● Perform root cause analysis to determine accuracy defects and drive improvements.
What we’re looking for:
● Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a
related field.
● 3-6 years of industry experience in building and deploying machine learning solutions and
simulations.
● 1-3 years of industry experience in logistics/operations preferred.
● Excellent communication skills (written and verbal) across departments with different levels of
machine learning knowledge.
● Strong data manipulation and programming skills in Python and SQL, and hands-on experience
with libraries such as Pandas, NumPy, Scikit-Learn, XGBoost.
● Strong problem-solving skills and an ability to analyze complex data.
● In-depth expertise in a range of machine learning and statistical techniques, such as linear and
tree-based models, along with understanding of model evaluation metrics.
● Understanding of linear programming, integer programming, and nonlinear programming.
● Experience with Git, AWS, and deep learning models is advantageous.
related field.
● 3-6 years of industry experience in building and deploying machine learning solutions and
simulations.
● 1-3 years of industry experience in logistics/operations preferred.
● Excellent communication skills (written and verbal) across departments with different levels of
machine learning knowledge.
● Strong data manipulation and programming skills in Python and SQL, and hands-on experience
with libraries such as Pandas, NumPy, Scikit-Learn, XGBoost.
● Strong problem-solving skills and an ability to analyze complex data.
● In-depth expertise in a range of machine learning and statistical techniques, such as linear and
tree-based models, along with understanding of model evaluation metrics.
● Understanding of linear programming, integer programming, and nonlinear programming.
● Experience with Git, AWS, and deep learning models is advantageous.
Skills Required
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field
- 3-6 years of industry experience in building and deploying machine learning solutions
- 1-3 years of industry experience in logistics/operations
- Strong data manipulation and programming skills in Python and SQL
- In-depth expertise in a range of machine learning and statistical techniques
- Understanding of linear, integer, and nonlinear programming
- Experience with Git and AWS
Pattern Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pattern and has not been reviewed or approved by Pattern.
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Equity Value & Accessibility — Equity is broadly offered and described as generous, with RSU sharing and access to stock included in total compensation. Equity availability is positioned as a core element for employees across the company.
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Leave & Time Off Breadth — Unlimited PTO, paid holidays, paid parental leave, and paid sick days indicate a wide-ranging time-off policy. These offerings create breadth for both vacation needs and family-related leave.
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Retirement Support — A 401(k) with a fully vested company match from day one (up to 4%) strengthens long-term financial security. Immediate vesting underscores emphasis on retirement benefits.
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The Company
What We Do
Pattern operates as a worldwide e-commerce growth, protection, control, and distribution platform for brands. Pattern® provides a proven blend of marketplace analytics, product distribution, MAP compliance, and brand management to drive ecommerce acceleration for premium brands. We thrive on high energy, professional excellence, and disciplined creativity.
