Data Science Practitioner

Project Role :Data Science Practitioner


Project Role Description :Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.

Must have skills :Natural Language Processing (NLP)


Good to have skills :Data Science, Machine Learning, API Management
Minimum
5 year(s) of experience is required


Educational Qualification :15 years full time education

Summary:As a Data Science Practitioner, you will be responsible for formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. You will measure and justify the value of AI/ML-based solutions. Your typical day will involve working on AI/ML projects, analyzing data, developing models, and collaborating with cross-functional teams to drive business impact.
Roles & Responsibilities:

Expected to be an SME, collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Provide solutions to problems for their immediate team and across multiple teams.

Develop and implement AI/ML models to solve complex business problems.

Analyze large datasets to extract meaningful insights and patterns.

Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.

Stay up-to-date with the latest advancements in AI/ML and apply them to improve existing models and frameworks.
Professional & Technical Skills:

Must To Have Skills:Proficiency in Natural Language Processing (NLP).

Good To Have Skills:Experience with Data Science, Machine Learning, and API Management.

Strong understanding of statistical analysis and machine learning algorithms.

Experience with data visualization tools such as Tableau or Power BI.

Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.

Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
Additional Information:

The candidate should have a minimum of 5 years of experience in Natural Language Processing (NLP).

This position is based at our Hyderabad office.

A 15 years full-time education is required.

 
Qualifications 
15 years full time education