14/01 Garima Singh
Talent Acquisition at Home Credit India

Views:390 Applications:58 Rec. Actions:Recruiter Actions:27

Home Credit - Manager - Data Science (4-8 yrs)

Gurgaon/Gurugram Job Code: 881958

Summary

The position holder will be a key pillar standing between business and customers, translating data findings, challenges and processes into data driven product features. S/He will work on a daily basis in a skilled and awesome cross-functional team that will be developing and maintaining the product. S/He will assist the Product Owners and Mobile app business by interpreting internal and external data, providing insights and analytical support to drive customer acquisition, retention, business process, product marketing, on-going and new initiative decisions. S/He is expected to have a holistic analytics overview of the product and all the connected databases.

Job responsibilities

- Create Scala/Spark jobs for data transformation and aggregation (PySpark preferable)

- Design data processing pipelines, Hadoop development and implementation in Python.

- Translate complex functional and technical requirements into detailed design.

- Analyzing & deploying the ML algorithms that could be used to solve a given problem and ranking them by their success probability

- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

- Verifying data quality, and/or ensuring it via data cleaning

- Setting up & monitoring the Mobile app KPIs to increase the usage and customer engagement

- Configuring analytical solutions (e.g. Google Analytics) & analyzing insights to support the mobile app product and business strategy

- Providing the requirements and guidelines to developers for an efficient implementation of analytical solutions.

- Working with management to prioritize business and information needs.

Desired profile

- Graduate/Post Graduate in Engineering, BS in Mathematics, Economics, Computer Science, Information Management or Statistics

- Must have atleast 4+ years of total work experience, + 3 years in data analytics in any e-commerce/marketing organization.

- Prior experience in data analytics/engineering in Fintech-Lending/ B2C /Mobile commerce /e-commerce company

- GCP Cloud Architect or Data Engineering Certification is preferred, exposure to Google Cloud Platform and BigQuery.

- Strong knowledge and experience of reporting packages like Business Objects, Hadoop, databases like SQL.

- Experienced in the implementation & configuration of an enterprise analytics tool in mobile world (Google Analytics 360, Adobe Omniture)

- Experienced in analyzing customer behavior and large datasets generated by mobile app events

- Knowledge and experience in business research, process design and implementation including cooperation with IT.

- Work & training experience from an international environment is an advantage

- Should have strong agility, proactive, drive forward and can-do attitude

- Must have strong communication, interpersonal and analytical skill

- Organized to meet all the requirements in a timely and cost-effective manner

- Should be target orientated, self-managed and a good negotiator

Who should join?

- If you love innovation, entrepreneurship and data driven environment as much as we do, you will find yourself in a great place for your growth. We will provide you with the means, freedom and responsibility to make an impact and make a great name for yourself.

- We are a fast growing multi-national business with robust applications and vast infrastructure and we will do our utmost to help you to get where you want to be in your life.

Women-friendly workplace:

Maternity and Paternity Benefits

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