Data Scientist (4-6 yrs)

Role : Data Scientist for Chennai location.

Experience : 4-6 Yrs

Job Location : Chennai

Job Description :

- Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation.

- Develop the user interfaces for quickly showcasing the solution.

- Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets.

- Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs.

- Identification of source data and data quality checks both in model/solution development and in production.

- Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps.

- Implement new statistical or other mathematical methodologies as needed for specific models or analysis.

- Propose innovative ways to look at problems through using data mining and data visualization.

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

- Present information using data visualization techniques; communicate results and ideas to key decision makers.

- Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies.

- Consistent accuracy and thoroughness in performing work assignments.

Responsibility :

- Technical Graduate with 4+ years of experience in Data Scientist.

- 4+ years of hands-on ML modeling/development experience

- Solid understanding of data analysis and statistical modeling.

- Solid experience with web frameworks like Streamlit, Flask, Django etc

- Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.

- Demonstrated track records in experimental design and executions.

- Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions.

- Strong programming skills in Python.

- Solid background in algorithms and a range of ML models.

- Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level.

- Excellent analytical and problem-solving abilities with superb attention to detail.

- Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success.