Data Scientist - Machine Learning & Forecasting

Hiring : Data Scientist - Machine Learning & Forecasting

Experience : 6 - 12 Years

Work Mode : Hybrid

We are seeking a highly analytical and results-driven Data Scientist with strong expertise in Classical Machine Learning, Time Series Forecasting, Predictive Analytics, and Statistical Modeling. The ideal candidate will be responsible for developing advanced forecasting models and machine learning solutions that support strategic business decision-making, demand planning, operational optimization, and business growth initiatives.

The role requires hands-on experience in designing, developing, validating, and deploying machine learning and forecasting models using large-scale datasets. The candidate will work closely with business stakeholders, product teams, and engineering teams to translate complex business challenges into scalable analytics solutions.

Key Responsibilities :

1. Machine Learning & Predictive Analytics :

- Design, develop, and deploy machine learning models to solve business-critical problems.

- Apply supervised and unsupervised learning techniques to generate actionable insights.

- Build predictive models for customer behavior, business performance, operational efficiency, and growth initiatives.

- Perform feature engineering, model selection, validation, and optimization.

- Continuously monitor and improve model performance.

2. Time Series Forecasting :

- Develop forecasting models for demand planning, sales forecasting, inventory optimization, and business forecasting.

- Apply advanced time-series forecasting techniques to improve forecast accuracy.

- Analyze seasonality, trends, cyclical patterns, and external business drivers.

- Build forecasting frameworks that support strategic planning and operational decision-making.

- Monitor forecast performance and implement continuous improvement initiatives.

3. Data Analysis & Statistical Modeling :

- Perform exploratory data analysis and derive meaningful business insights.

- Utilize statistical techniques to identify trends, correlations, and patterns within large datasets.

- Conduct hypothesis testing, regression analysis, and advanced statistical modeling.

- Support data-driven decision-making through robust analytical frameworks.

4. Model Development & Deployment :

- Develop scalable machine learning pipelines and automation workflows.

- Collaborate with engineering teams to deploy models into production environments.

- Ensure model governance, monitoring, and performance tracking.

- Support model lifecycle management and maintenance activities.

5. Stakeholder Collaboration :

- Partner with business stakeholders to understand requirements and define analytical solutions.

- Translate business problems into machine learning and forecasting use cases.

- Present insights, forecasts, and recommendations to leadership teams.

- Drive adoption of analytics-driven decision-making across business functions.

Required Skills & Experience :

- 6 - 12 years of experience in Data Science, Machine Learning, Predictive Analytics, or Advanced Analytics.

- Strong expertise in Classical Machine Learning algorithms.

- Hands-on experience in Time Series Forecasting and Predictive Modeling.

- Advanced proficiency in Python and machine learning libraries.

- Strong understanding of statistics, forecasting methodologies, and analytical techniques.

- Experience working with large datasets and complex business problems.

Mandatory Skills :

- Machine Learning, Classical ML Algorithms, Time Series Forecasting, Python, Scikit-Learn, Pandas, NumPy, Statistical Modeling, Predictive Analytics, Data Science, Forecasting Models, Data Analysis.

Preferred Skills :

- XGBoost, LightGBM, CatBoost, ARIMA / SARIMA, Prophet, Forecasting Analytics, Optimization Models, SQL, Business Analytics, MLOps.

Key Competencies :

- Analytical Thinking, Problem Solving, Statistical Analysis, Business Acumen, Data Interpretation, Stakeholder Management, Communication Skills, Decision-Making Support.

Why Join Us :

- Opportunity to work on high-impact machine learning and forecasting initiatives.

- Exposure to complex business challenges and large-scale datasets.

- Collaborate with cross-functional teams and business leaders.

- Drive measurable business outcomes through advanced analytics and predictive modeling.