Data Scientist

3 weeks ago

Bengaluru, Karnataka, India Enphase Energy Full time
Job Description

- Build predictive models and machine-learning algorithms for sales forecasting, territory planning, quota allocation, and sales process optimization.
- Develop SKU level demand forecasts based on demand patterns, business trends, and advanced ML models/Predictive Analytics, and drive forecast accuracy and operations metrics.
- Identify valuable data sources and automate collection processes.
- Undertake preprocessing of structured and unstructured data
- Analyse large amounts of information to discover trends and patterns related to sales operations.
- Develop models and algorithms to optimize sales resource allocation and sales performance.
- Analyse sales data to identify opportunities for process improvements and cost optimization.
- Collaborate with sales teams to understand their data needs and provide insights to drive better decision-making.
- Present information using data visualization techniques.
- Communicating and collaborating cross-functionally throughout the entire company, including sales, finance, supply planning, pricing, and PLM teams.
- Inventory levels forecasting and excess/shortage of FG & RM identification using ML models.
- Make the existing sales ops processes scalable by identifying and implementing supply chain tools and automation.

Skills Required:

- 5+ years of experience as a Data Scientist. Hands on experience in data manipulation usingPython, AWS, SQL, MS Excel is a must.
- Expert level proficiency in Python and Predictive Analytics (proficient in application ofML conceptsand forecasting techniques to solve supply chain problems).
- Understanding of machine-learning and operations research.
- SFDC, Oracle Cloud, QlikView/Tableau or Incorta experience preferred.
- B.Tech/Master s required with knowledge of sales operations, demand forecasting, supply chain and experience in a product based industry.
- Very process-focused with excellent analytical and problem-solving skills and sound business judgment - comfortable with data-driven decision-making.
- Ability to work productively and independently in a dynamic, fast paced environment with exposure to executive staff.
- Bachelors BTECH/Master s (CGPA - 7+/70%) with about 4-8 yrs of experience.

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