Senior Data and Applied Scientist

3 Weeks ago • 3-6 Years • Data Analysis

Job Summary

Job Description

As a Senior Data and Applied Scientist, you will collaborate with Pattern's Data Science team to manage and analyze data, applying machine learning models and statistical methods to optimize advertising spending on e-commerce platforms. Your responsibilities include designing and maintaining machine learning models to improve search visibility and conversion rates, continuously optimizing model quality, integrating new data sources, innovating in feature engineering, enhancing data pipelines, and analyzing large datasets to extract actionable insights. You will work closely with teams in different regions, dedicating time to MLOps for efficient model deployment and operations. This role involves a blend of technical expertise and strategic thinking to drive impactful results in a dynamic environment.
Must have:
  • Bachelor's or Master's in a related field.
  • 3-6 years of industry experience in deploying ML solutions.
  • Strong data manipulation and programming skills in Python and SQL.
  • Hands-on experience with libraries such as Pandas, Numpy, Scikit-Learn, XGBoost.
  • Strong problem-solving and data analysis abilities.
  • In-depth expertise in machine learning and statistical techniques.
Good to have:
  • Experience with Git, AWS, Docker, and MLFlow.
  • Active Kaggle or Github profile.
  • Familiarity with advertising and ecommerce concepts.

Job Details

Job Description: 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 optimize advertising spend on ecommerce platforms. 

What you’ll do: 
  • Design, build, and maintain machine learning and statistical models to optimize advertising campaigns to improve search visibility and conversion rates on ecommerce platforms.
  • Continuously optimize the quality of our machine learning models, especially for key metrics like search ranking, keyword bidding, CTR and conversion rate estimation
  • Conduct research to integrate new data sources, innovate in feature engineering, fine-tuning algorithms, and enhance data pipelines for robust model performance.
  • Analyze large datasets to extract actionable insights that guide advertising decisions. 
  • Work closely with teams across different regions (US and India), ensuring seamless collaboration and knowledge sharing.
  • Dedicate 20% of time to MLOps for efficient, reliable model deployment and operations.
What we’re looking for: 
  • Bachelor's or Master's in Data Science, Computer Science, Statistics, or a related field.
  • 3-6 years of industry experience in building and deploying machine learning solutions.
  • 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. 
  • Experience with Git, AWS, Docker, and MLFlow is advantageous.
Additional Pluses: 

Portfolio: An active Kaggle or Github profile showcasing relevant projects.

Domain Knowledge: Familiarity with advertising and ecommerce concepts, which would help in tailoring models to business needs.

Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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About The Company

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.

 

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