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 :Microsoft Azure Machine Learning

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years of Education and necessary degree in engineering
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. Your typical day will involve working with Microsoft Azure Machine Learning, measuring and justifying AI/ML-based solution values, and collaborating with cross-functional teams to deliver impactful data-driven solutions.
Roles & Responsibilities:

Lead the development and deployment of AI/ML-based decision-making frameworks and models using Microsoft Azure Machine Learning.

Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms.

Collaborate with cross-functional teams, applying expertise in diverse machine learning algorithms, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.

Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity.

Stay updated with the latest advancements in AI/ML and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills:

Must To Have Skills:Proficiency in Microsoft Azure Machine Learning.

Good To Have Skills:Experience with TensorFlow, Natural Language Processing (NLP), and Big Data technologies.

Strong understanding of statistical analysis and machine learning algorithms.

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

Experience in 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 3 years of experience in Microsoft Azure Machine Learning.

The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions.

This position is based at our Bengaluru office.Qualification15 years of Education and necessary degree in engineering