Senior Data Scientist

Epsilon Data Management

4 - 9 years

20 - 25 Lacs

bengaluru

Posted:22 hours ago| Platform:

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Skills Required

computer science product management logistic regression coding analytical cognos business intelligence digital marketing business solutions sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

You have a strong ability to collaborate and consult with clients and internal teams to define, derive, and deploy analytical solutions.
You excel at deriving actionable insights from complex data and can communicate complex problems in simple business terms to partners.
You are an effective communicator, a strong teammate across geographies, and dedicated to meet tight timelines. What you will enjoy in this role: As a Sr. Data Scientist, you will:
Work with stake
holders throughout the organization to find opportunities for leveusingpany data to drive business solutions.
Develop a use case roadmap for business problem areas and frame them into Data Science or modelling problems.
Strategize and implement development of data products by working with Client Support, Product Management and Engineering teams.
Be part of a global team that uses your expertise and challenges you to innovate and lead.
Support clients across industries such as Retail, CPG, Travel, and Finance in the digital marketing ecosystem. Responsibilities
Extract, mine, and analyze data from multiple sources to drive optimization and improvement of products.
Process, cleanse, and verify the integrity of data used for analysis.
Build, select, and optimize models using ML/AI techniques.
Present technical solutions to internal and external stake
holders in a clear and formal setting.
Develop BI
based deliverables using tools such as Tableau, Cognos, Excel.
Support stake
holders with ad
hoc business problems, charting, and reporting.
Build project plans, maintain to
do lists, organize work, and follow coding ethics with attention to detail.
Build self
service tools for error detection, diagnosis, and predictive metrics. Qualifications Required:
Bachelor s or Master s degree in a quantitative field (e.g., data science, statistics, economics, mathematics, computer science).
4+ years professional experience in the field of data science or business intelligence.
Proficiency in Python/Scala/SQL and Big Data technologies with experience in AWS and Spark (minimum 3 years).
Experience with machine learning algorithms such as logistic regression, linear regression, lasso regression, k
means, random forest (minimum 2 years).
Proficiency in BI tools such as Tableau, Power BI, or Cognos with ability to deliver actionable insights.
Expertise with Microsoft Office products.
Strong communication skills and ability to coordinate across teams.
Experience managing solution development through agile/scrum and tools like JIRA.
Understanding of digital marketing in industries such as Travel or Retail. Preferred:
Professional experience with R, Dash, Looker, or Domo.

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