JOB PURPOSE :
- Build & Deploy Machine learning models to drive customer retention/satisfaction/Lifetime value
- Work closely with business to identify issues and use data to propose solutions for effective decision making
- Use analytical, statistical, and programming skills to collect large data sets and develop data-driven solutions
- Interpret raw data and extract valuable meaning out of it then use this information to find patterns and develop solutions that organization needs to grow and compete
PRINCIPAL ACCOUNTABILITIES:
- Create various Machine learning based tools or processes such as recommendation engine /lead scoring systems
- Using machine learning tools to select features, create and optimize classifiers
- Discover information in the huge database and help organization make smarter data drive decision to deliver better customer experience & products
- Undertaking data collection, preprocessing, and analysis (EDA)
- Build models to address business problems
- Present information using data visualization techniques
MAJOR CHALLENGES :
- Identify valuable data sources and automate collection processes
- Collaborate with multiple marketing and product planning teams
- Data preparation, make sense of data from multiple data sources, be compliant to data security norms
- Understanding the business problem
- Effective communication with Non-Technical stakeholders
- Possess exceptional knowledge of the business domain along with expertise in technology, math and statistics
DECISIONS :
- Look at big data with a view to solve a business problem
- Ability to create and gain buy-in for novel ideas with the main motive to produce a working model that can help business make effective data driven decisions
- Create stories from number crunching
- Be the data storyteller to gain business confidence
INTERACTIONS :
Internal Clients :
Roles you need to interact with inside the organization to enable success in your day to day work
External Clients:
Roles you need to interact with outside the organization to enable success in your day to day work
- Deployment teams
SKILLS AND KNOWLEDGE:
Educational Qualifications:
a) Qualifications:
- Graduate/Post graduate with understanding of basic data science (Knowledge of SQL ,HIVE, Python, R or SAS - Any 2), knowledge of basic auto industry and sales and marketing operations
b) Work Experience:
- < 5 Yrs
- The candidate with Coding Skills, Statistical Analysis, Understanding of Data Models, IT architecture / Enterprise architecture, Machine Learning, Data Visualization is preferred
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