Senior Data Scientist

Experience:

Location:

Employment Type:

Senior Data Scientist

Responsibilities:

• Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies.
• Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making.
• Assess competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth.
• Build and maintain scalable data pipelines with a focus on code quality, reproducibility, and best practices for deployment.
• Utilize cloud platforms (AWS, GCP, or Azure) to efficiently process and model large-scale datasets.
• Collaborate across teams and clearly communicate insights to both technical and non-technical stakeholders, shaping strategy at the leadership level.

Qualifications:

Education:

• Bachelor’s degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master’s or Ph.D. strongly preferred).

Experience:

• 5+ years of experience in Data Science, Machine Learning, or Applied Econometrics.
• Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts.
• Experience with experimental design and statistical inference in real-world business settings.

Technical Skills:

• Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch preferred).
• Strong SQL skills and experience querying large-scale data platforms (e.g., Snowflake, Redshift).
• Familiarity with scientific software principles (version control, reproducibility, testing).
• Experience with cloud computing (AWS preferred).

Business & Communication:

• Ability to translate data insights into business recommendations.
• Strong communication skills, comfortable presenting technical findings to executive stakeholders.

Preferred Qualifications:

• Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries.