Data Science Associate

7 months ago


Bengaluru Karnataka, India Talent Toppers Full time

**Industry**:Consulting & Strategy**Job Category**:IT/ Technical**Job Type**:Full Time**Job Location**:Bangalore Gurugram PuneData Science Associate (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions.

**Responsibilities**:

- Develop advanced algorithms that solve problems of large dimensionality in a

computationally efficient and statistically effective manner
- Execute statistical and data mining techniques (e.g. hypothesis testing, machine

learning and retrieval processes) on large data sets to identify trends, figures and
other relevant information
- Collaborate with clients and other stakeholders to effectively integrate and

communicate analysis findings
- Contribute to the evaluation of emerging datasets and technologies that may

contribute to our analytical platform
- Evaluating emerging datasets and technologies that may contribute to our

analytical platform
- Owning the development of select assets/accelerators for efficient scaling of

capability, with a focus on leveraging generative AI and deep learning
methodologies.
- Integrate engineering principles into data science workflows, optimizing

algorithms for performance, scalability, and maintainability.
- Collaborate with the engineering team to implement and deploy data science

solutions into production, ensuring seamless integration with existing systems.
- Utilize software engineering best practices for version control, code review,

testing, and documentation to maintain high-quality, reliable, and reproducible
data science workflows.

**Qualifications**:

- Bachelor’s or master’s degree or PhD in Computer Science (or Statistics) from a

premier institute, and strong academic performance with analytic and quantitative
coursework is required.
- 1-3 years of Data Science experience, including proficiency in generative AI,

deep learning, statistical techniques, and engineering integration for scalable
solutions.
- Knowledge of programming (e.g. Java/Python/R);
- Knowledge of big data/advanced analytics concepts and algorithms (e.g. text

mining, social listening, recommender systems, predictive modeling, etc.);
- Excellent oral and written communication skills.
- Strong attention to detail, with a research-focused mindset;
- Excellent critical thinking and problem-solving skills;
- High motivation, good work ethic and maturity.
- Exposure to Generative AI and its usage to solve problems is a plus.


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