Senior Data Scientist Client Analytics

Epsilon Data Management

5 - 9 years

7 - 11 Lacs

bengaluru

Posted:Just now| Platform:

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Skills Required

logistic regression data analysis consulting machine learning instrumentation manager quality control business intelligence operations sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

What you ll do

The Digital Analytics team in the Client Analytics Group works on client engagements and related delivery for People Cloud Prospect & Discovery environments
The team also partners with client consulting team and platform team and data providers, using analytics and data science to drive strategic thought and effective decision making
The Senior Data Scientist is responsible for conducting data analyses using Python/SQL/PySpark and other tools in support of a variety of analytic solutions

Responsibilities

Operational Perform hands-on analysis on large volumes of customer s first-party data and third-party data to provide statistically valid analysis and related
Master and perform all steps required to create analysis-ready datasets, including data integration/merging, variable preparation, and quality control (QA/QC) Provide proficient problem solving and data analysis, derived from modelling and statistical experience
Design and Implement Machine learning models using Spark ML and Python/Pyspark Create engaging and meaningful data visualizations / power point presentations of findings linked to clear client business impact
Present statistical results to both technical and non-technical audience in a clear manner Participate in the design, planning & execution of projects Own end to end implementations of Marketing machine learning models such as Customer Segmentation, Propensity models, CLTV etc
Functional Become proficient with Epsilon data assets Document and articulate steps taken in an analysis to project managers
Follow all policies and procedures for programming, project documentation, and system management
Be an active learner - learn new and powerful tools, technologies, algorithms and methodologies to be at the edge of data science learnings
Collaborate well with cross-functional internal teams as needed to drive results
Effectively manage time and resources in order to deliver on time / correctly on a limited number (1-4) of concurrent projects
Proactively communicate with supervisor regarding workload and the status of assignments and manage partners effectively

Qualifications

Bachelor s degree, or higher, in a quantitative discipline (eg, Engineering, Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework 5-9 years of experience in the analytics and data science; marketing analytics experience preferred
Strong experience with Python, SQL and Microsoft office packages Must have hands-on experience with machine learning and statistical techniques like Logistic regression, Decision trees, Random Forest, K-means clustering etc
Experience in distributed computing using PySpark, comfort with DataBricks and experience in machine learning with Spark / MLlib Strong analytic thought process and ability to interpret findings Acute attention to detail (QA/QC)
Excellent verbal and written communication skills Highly motivated and collaborative team player with strong interpersonal skills Effective organization and time management skills
Passion for understanding key business problems, bringing together a team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences
Proven capability to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results

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