Data Scientist

4 weeks ago

Hyderabad, Telangana, India KloudPortal Technology Solutions Pvt Ltd Full time

Job Title : Data Scientist (Analytics)

Experience : 12+ Years (6+ years for Architects)

Location : Hyderabad

Job Description :


We are seeking a highly experienced Data Scientist (Analytics) with a strong background in Supply Chain, Demand Planning, and Retail Merchandise Financial Planning. The ideal candidate will have hands-on experience in building advanced forecasting models, working with ML algorithms, and leveraging the o9 platform to drive retail and demand insights.

Key Responsibilities (KRAs) :

- Design and implement end-to-end machine learning pipelines for Time Series Forecasting.

- Apply statistical forecasting techniques such as ARIMA, Exponential Smoothing, and Prophet to real-world supply chain data.

- Develop and tune ML models using algorithms like XGBoost, LightGBM, etc., to enhance forecast accuracy.

- Collaborate with cross-functional teams to identify key demand drivers and optimize retail planning cycles.

- Translate business problems in demand planning into data science solutions using robust modeling techniques.

- Ensure seamless integration of ML models into business processes and the o9 platform.

- Communicate insights and recommendations clearly to non-technical stakeholders and leadership.

- Lead and mentor junior data scientists and data engineers in best practices and solutioning.

Required Skillsets :


- Proven experience (12+ years) in Data Science and Analytics, with at least 6+ years in architectural roles.

- Strong background in Supply Chain, especially in Demand Planning and Retail Merchandise Financial Planning.

- Expertise in Time Series Forecasting using :
  • Statistical models : ARIMA, Exponential Smoothing, Prophet
  • Machine Learning models : XGBoost, LightGBM, etc.
- Minimum 1 year of hands-on experience with the o9 platform.

- Proficient in Python and/or R, with strong command over data science libraries (e.g., pandas, NumPy, scikit-learn, statsmodels, prophet, etc.

- Experience in developing scalable, production-ready ML pipelines.

- In-depth understanding of retail planning cycles, seasonality, promotions, and macroeconomic factors influencing demand.

- Excellent communication, storytelling, and presentation skills to effectively convey insights to stakeholders.

- Strong cross-functional collaboration experience working with business, engineering, and product teams

(ref:hirist.tech)

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