Job Overview
Role: Associate Data Scientist Location: Bangalore Experience: 0-1 Year Qualification: B.E/B.Tech/M.E/M.Tech/B.Sc/M.Sc/BA/MA Key Skills: Python, SQL, Machine Learning, Data Analysis, Databricks
Job Description
Epsilon is hiring for the position of Associate Data Scientist in Bangalore . The Epsilon Recruitment 2026 drive is suitable for candidates with B.E, B.Tech, M.E, M.Tech, B.Sc, M.Sc, BA, or MA qualifications and 0–1 years of experience. This is an opportunity for graduates interested in working with large-scale data, statistical analysis, Python, SQL, machine learning, data visualization, and modern analytics platforms. 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.
Roles and Responsibilities
- Solution Development: Work with business stakeholders and experienced colleagues to design and develop analytics solutions.
- Data Analysis: Use strong problem-solving skills to analyze data and uncover actionable business insights.
- Data Systems: Work with enterprise data systems such as Databricks and other large-scale data platforms.
- Vector Datastores: Learn and work with vector datastore technologies such as FAISS and ChromaDB .
- Scalable Analytics: Build scalable analytical solutions for processing and analyzing large volumes of data.
- Programming: Use Python and SQL for data processing, analysis, and analytical solution development.
- Data Focus: Perform hands-on analysis of customer first-party data and third-party data.
- Statistical Modelling: Apply statistical and modelling techniques to produce quality and statistically valid analysis.
- Machine Learning: Design and implement machine learning models using Databricks and Python/PySpark .
- Quality Control: Perform quality control of data and analytical results produced by data scientists and junior team members.
- Visualization & Communication: Create meaningful data visualizations and PowerPoint presentations based on analytical findings. Communicate statistical results clearly to technical and non-technical audiences.
- Project Management: Take an active role in analysis design, project planning, and execution. Communicate workload and assignment status proactively with supervisors.
- Continuous Learning: Stay updated with new tools, technologies, algorithms, and data science methodologies.
- Collaboration: Collaborate with cross-functional internal teams to deliver analytical solutions.
Skills and Eligibility Criteria
Educational Background: Bachelor's or Master's degree in Engineering or another quantitative discipline such as Statistics, Economics, or Mathematics (B.E, B.Tech, M.E, M.Tech, B.Sc, M.Sc, BA, or MA).
Experience: 0–1 years of experience.
Mandatory Technical Skills:
- Python (Interest or familiarity)
- SQL (Interest or familiarity)
- Machine learning
- Statistical modelling
- Data analysis
- Databricks (Willingness to learn)
- PySpark (Interest in using)
Competencies:
- Strong aptitude in quantitative analysis and logical reasoning (Quantitative Skills)
- Strong analytical thought process and problem-solving ability (Analytical Thinking)
- Curiosity to learn tools such as SAS, SQL, Python, R, Google Analytics, Adobe Analytics, and MS Office (Analytics Tools)
- Ability to explain analytical findings clearly to technical and non-technical audiences (Communication)
- Collaborative attitude, curiosity, motivation, interpersonal skills, and willingness to learn (Soft Skills)