Data Scientist - Sales Operations

2 Months ago • 5-8 Years

Job Summary

Job Description

As a Data Scientist for the Sales Operations team, you will be responsible for analyzing data to optimize sales operations, develop predictive models, and drive forecast accuracy. This role involves identifying data sources, preprocessing data, analyzing trends, and collaborating with sales teams to improve decision-making. You will build models for sales forecasting, territory planning, and optimize resource allocation. The role is based in Bangalore, India, and requires strong analytical skills and experience with machine learning and predictive analytics. You will work in a fast-paced environment to build and maintain sophisticated analytics programs.

Must have:

5+ years of Data Science experience
Expert level proficiency in Python and Predictive Analytics
Understanding of machine-learning and operations research
Strong data manipulation skills using Python, AWS, SQL and MS Excel
B.Tech/Master’s required with knowledge of sales operations and supply chain

Good to have:

Experience with SFDC, Oracle Cloud, QlikView/Tableau or Incorta
Knowledge of demand forecasting and experience in product based industry

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

forecasting-budgeting

algorithms

python

data-analytics

team-management

data-visualization

aws

sql

tableau

qlikview

excel

oracle

resource-allocation

cost-optimization

resource-planning

Job Details

Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries.

We are building teams that are designing, developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun, and full of exciting new projects.

If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase!

About the Role:

We are looking for a Data Scientist to join our Sales Operations team. The role will be based in our Bangalore, India office, reporting to the Manager, Sales Operations. The position will be responsible for sourcing, preparing, and analysing large amounts of raw data to find patterns that will enable the company to better understand and optimize sales operations. The role will be responsible for the design, implementation, and maintenance of sophisticated analytics programs, machine learning, and/or statistical methods to prepare data for use in predictive and prescriptive modelling.

The ideal candidate needs to be highly analytical with a strong background and understanding in data analysis, math, and statistics. Critical thinking and problem-solving skills are essential. Experience with machine-learning and predictive analytics tools is required.

Key Responsibilities:

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 using Python, AWS, SQL, MS Excel is a must.
Expert level proficiency in Python and Predictive Analytics (proficient in application of ML concepts and 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.