Data Scientist

4 weeks ago

Pune, India Career Stone Consultant Full time

Data Scientist is an important role which involves in leveraging advanced analytics and machine learning techniques to extract insights from data and drive data-driven decision-making objectives impacting Business growth, Profitability, Key P&L KPI’s, help D2c Channel & organization gain a competitive edge in the marketplace


PRINCIPAL ACCOUNTABILITIES


1. Data Analysis: Conducting thorough and complex analyses of large datasets to identify patterns, trends, and insights that can inform business strategies and decisions.

2. Predictive Modeling: Developing and deploying predictive models to forecast future outcomes, such as customer behavior, market trends, or product demand.

3. Machine Learning: Applying machine learning algorithms and techniques to solve business problems, automate processes, and optimize decision-making.

4. Statistical Analysis: Utilizing statistical methods and techniques to analyze data, test hypotheses, and derive actionable insights.

5. Data Visualization: Creating visually appealing and informative data visualizations, such as charts, graphs, and dashboards, to communicate findings and insights effectively to stakeholders.

6. Collaboration: Collaborating with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business requirements and develop solutions that meet stakeholders’ needs.

7. Model Deployment: Deploying machine learning models into production environments and ensuring their scalability, reliability, and performance.

8. Continuous Improvement: Staying updated on the latest advancements in data science, machine learning, and analytics techniques, and continuously improving methodologies and processes within the COE.

9. Data Governance: Ensuring compliance with data governance policies and best practices, including data privacy, security, and regulatory requirements.

10. Training and Knowledge Sharing: Providing training and mentoring to colleagues within the organization to enhance data literacy and promote the adoption of data-driven decision-making practices.


Educational Qualifications

Postgraduate computer science, Certifications in Data Science, Data analytics


Work Experience


a). Min. 3+ years of relevant work experience

b). Exposure to develop predictive models and machine learning models.

c) Have implemented at least 2 predictive/ machine learning models end to end

d) Good strategy, Analytical, Team handing, Leadership & Communicational Skills

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