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Job Description

Key Responsibilities :


- Design, develop, and deploy advanced machine learning and statistical models to solve complex business problems.

- Analyze large, complex datasets to extract actionable insights and support data-driven decision-making.

- Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities and deliver impactful solutions.

- Lead end-to-end data science projects from problem definition, data acquisition, model development, validation, and deployment.

- Mentor junior data scientists and analysts, providing technical guidance and best practices.

- Communicate findings, model results, and data-driven recommendations to both technical and non-technical audiences.

- Stay up-to-date with the latest trends, tools, and technologies in data science and machine

learning.

- Ensure data quality, integrity, and governance throughout analytical processes.

Qualifications and Skills :


- 5+ years of experience as a Data Scientist or similar role, preferably in [industry/domain].

- Strong proficiency in programming languages such as Python, R, or Scala.

- Expertise in machine learning techniques, statistical analysis, predictive modeling, and data

mining.

- Hands-on experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms

(AWS, Azure, GCP) is a plus.

- Solid understanding of data visualization tools (Tableau, Power BI, matplotlib, etc.)

- Experience with SQL and NoSQL databases.

- Strong problem-solving skills and ability to translate business problems into data science

solutions.

- Excellent communication and presentation skills.

- Advanced degree (Masters or Ph.D.) in Computer Science, Statistics, Mathematics,

Engineering, or a related field is preferred


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