Classic Ml Jobs – Apply to Latest Classic Ml Job Vacancies

4.0 - 9.0 years

20 - 35 Lacs

Mumbai, Navi Mumbai, Pune

Work from Office

Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent Mandatory. • Proven track record in Demand Forecasting Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning Locations: Mumbai/Pune/Noida/Bangalore/Jaipur/Hyderabad

Posted 1 week ago

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Data Scientist NEXWARE

4.0 - 6.0 years

4 - 8 Lacs

Bengaluru

Hybrid

Collaborate with Business Partners: Execute data vision strategy and provide thought leadership to business. Develop analytical tools and capabilities to enable data query and respond to requests. Deliver Advanced Analytics and Models: Apply advanced statistical techniques (especially AB testing) and machine learning models. Research new modeling methods and experiment designs. Data Exploration: Ingest, cleanse, and profile large structured and unstructured datasets. Generate consumer insights from big data. Data Visualization and Storytelling: Use various tools/technologies to visualize and storyline insights Recommend strategies in technical and non-technical language. Qualifications: Required: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Proficiency in Python (2+ years) and SQL (3-4+ years). Experience with data visualization tools (Tableau, Power BI, Matplotlib). Strong understanding of statistical methods and machine learning techniques. Ability to work with large datasets and cloud-based platforms (AWS). Excellent problem-solving, critical-thinking, and communication skills. Preferred: Master’s degree in Data Science or related field. Experience in a fast-paced environment. Experience with Dash/Shiny frameworks, Git, Apache Airflow, and AWS SageMaker

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