Lead Data Scientist

3 weeks ago


BangaloreGurgaonGurugram, IN Dashhire Full time

Responsibilities :

Data Analysis and Insights :

- Analyze large datasets to derive meaningful insights with demonstrable results.

- Apply rigorous experimentation and iterative analytics to drive product improvements using data science methodologies.

Algorithm Development :

- Create algorithms to extract information from large datasets and perform statistical analysis.

- Develop predictive models to forecast outcomes and trends.

Dashboard Creation and Visualization :

- Design and develop dashboards and visualizations for monitoring key metrics and performance indicators.

- Distill complex results or processes into simple, clear visualizations.

Customer Requirement Interpretation :

- Translate informal customer requirements into well-defined problem definitions, addressing ambiguity and competing objectives.

Documentation :

- Document end-to-end processes in a presentable format for internal and external stakeholders.

Data Gathering and Pre-processing:

- Collect and preprocess relevant data for insight generation and model building.

Data Interpretation and Reporting :

- Interpret data to generate actionable insights and explain findings in an understandable manner.

- Automate report generation using visualization tools.

Algorithm Deployment :

- Deploy data science and technology-based algorithmic solutions to address business needs effectively.

Analytical Techniques :

- Apply appropriate analytical techniques such as exploratory data analysis, regression analysis, decision trees, clustering, etc., to solve complex problems.

Requirements :

- Strong analytical skills with a proven track record of delivering impactful insights.

- Proficiency in data visualization and presentation.

- Expertise in Python/R, SQL, and Excel for data analysis and manipulation.

- Knowledge of AWS (Amazon Web Services) and Git.

- Understanding of statistical concepts and proficiency in machine learning models.

- Familiarity with data science tools, algorithms, and methodologies.

(ref:hirist.tech)
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