Role : Data Scientist
Work mode : Remote
Shift : 8 :00 PM onwards (Night Shift)
Notice period : Immediate to 20 days
Experience : 10+ years
Job Overview
We are looking for an experienced Data Scientist to drive data-driven decision-making across pricing, sourcing, and supply chain strategies. This role requires deep expertise in machine learning, statistical modeling, and causal inference, along with strong business acumen.
Key Responsibilities
- Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies
- Design and evaluate experiments, including A/B testing, multi-armed bandits, and contextual bandits
- Analyze competitive pricing trends, market dynamics, and customer behavior to generate actionable insights
- Build and maintain scalable data pipelines with strong emphasis on code quality, reproducibility, and deployment best practices
- Leverage cloud platforms (AWS, GCP, or Azure) to process and model large-scale datasets
- Collaborate cross-functionally and communicate insights effectively to both technical and non-technical stakeholders
- Influence business strategy through data-driven recommendations at leadership level
Qualifications
Education :
- B.Tech /B.E in applied mathematics, Computer Science, Statistics, Engineering, or related field (Masters 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.
(ref:hirist.tech)
