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)

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Data Scientist