Position Details: Data Scientist - Senior Analyst

Description:

Key Responsibilities:

Data Science and Machine Learning:

Develop and deploy advanced data science and machine learning models to solve complex business problems.

Fine-tune models for improved accuracy and performance.

Implement and optimize algorithms using statistical programming languages such as Python, R, or similar tools.

Generative AI:

Utilize Generative AI technologies to create innovative solutions and drive AI-based projects in space of marketing analytics.

Maintain an understanding of the latest advancements in Generative AI and incorporate cutting-edge techniques into the workflow.

Data Analysis and Interpretation:

Conduct exploratory data analysis to determine trends, patterns, and insights.

Translate data findings into actionable recommendations and collaborate to present them to stakeholders.

Data Management:

Ensure data integrity, accuracy, and security.

Manage large datasets efficiently and use appropriate data processing techniques.

Teaming:

Collaborate with business stakeholders to gather functional requirements and translate them into technical specifications for Tableau solutions.

Work closely with data engineers, technical BIS and other IT professionals to ensure seamless data flow and integration.

Qualifications:

Technical Skills:

Proficiency in programming languages such as Python, R, or SQL.

Strong understanding of data science, machine learning, and AI algorithms.

1+ year of hands-on experience using GenAI, language models and technologies.

Strong data process skills, SQL, ETL, analytical thinking, and problem-solving skills.

Proficiency in Python libraries for AI is essential.

Multi-task and prioritize in a fast-paced environment.

Education:

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Experience:

Minimum of 3-5 years of experience in data science and machine learning.

Also, proven experience with Generative AI tools and technologies.

Work Timings
• 2.00 PM to 11 PM
• Location – Hyderabad Office

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