Epsilon Recruitment 2026

Epsilon

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Bangalore, India0 – 1 YearBest in Industry1 day ago

LocationBangalore, India

Experience0 – 1 Year

QualificationB.E/B.Tech/M.E/M.Tech/B.Sc/M.Sc/BA/MA

Salary / CTCBest in Industry

Job Description

The Associate Data Scientist at Epsilon will work with business stakeholders and experienced analytics professionals to design and develop analytical solutions. The role involves working with large volumes of customer and third-party data to identify meaningful patterns, generate insights, and support business decisions.
As an Associate Data Scientist, you will have the opportunity to work with technologies including Python, SQL, PySpark, Databricks, and modern data platforms. The position also involves statistical analysis, machine learning, data quality checks, visualization, and communicating findings to both technical and non-technical audiences.
The role is particularly relevant for graduates who want to build a career in Data Science, Machine Learning, Business Analytics, or Big Data. Candidates should be comfortable with quantitative reasoning and demonstrate an interest in learning new analytical tools and methodologies.

Work with business stakeholders and experienced colleagues to design and develop analytics solutions.
Use strong problem-solving skills to analyze data and uncover actionable business insights.
Work with enterprise data systems such as Databricks and other large-scale data platforms.
Learn and work with vector datastore technologies such as FAISS and ChromaDB.
Build scalable analytical solutions for processing and analyzing large volumes of data.
Use Python and SQL for data processing, analysis, and analytical solution development.
Perform hands-on analysis of customer first-party data and third-party data.
Apply statistical and modelling techniques to produce quality and statistically valid analysis.
Design and implement machine learning models using Databricks and Python/PySpark.
Perform quality control of data and analytical results produced by data scientists and junior team members.
Create meaningful data visualizations and PowerPoint presentations based on analytical findings.
Communicate statistical results clearly to technical and non-technical audiences.
Take an active role in analysis design, project planning, and execution.
Communicate workload and assignment status proactively with supervisors.
Stay updated with new tools, technologies, algorithms, and data science methodologies.
Collaborate with cross-functional internal teams to deliver analytical solutions.

Education: Bachelor’s or Master’s degree in Engineering or another quantitative discipline such as Statistics, Economics, or Mathematics.
Eligible Degrees: B.E, B.Tech, M.E, M.Tech, B.Sc, M.Sc, BA, or MA.
Experience: 0–1 years of experience.
Quantitative Skills: Strong aptitude in quantitative analysis and logical reasoning.
Analytical Thinking: Strong analytical thought process and problem-solving ability.
Programming: Interest or familiarity with Python and SQL.
Data Science: Interest in machine learning, statistical modelling, and data analysis.
Big Data: Willingness to learn platforms such as Databricks and enterprise data systems.
PySpark: Interest in using Python/PySpark for scalable data processing and machine learning.
Analytics Tools: Curiosity to learn tools such as SAS, SQL, Python, R, Google Analytics, Adobe Analytics, and MS Office.
Communication: Ability to explain analytical findings clearly to technical and non-technical audiences.
Soft Skills: Collaborative attitude, curiosity, motivation, interpersonal skills, and willingness to learn.

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