Senior Data Scientist

About Tavant

With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions are routinely rated high by the industry.

Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrows technology and brilliant minds to create it. And we dont focus just on what we do we also care how we do it. So, bring your talent and ambition to make a difference. Well create a world of opportunities for you.

Job Title: Senior Data Scientist

Work Location: Bangalore, Pune, Kolkata, Noida, Hyderabad.

Work Experience: 6 -10 years.

Roles & Responsibilities

• Design, develop, and deploy machine learning models to solve business problems.
• Work with
  
  BigQuery SQL to handle large-scale data extraction, transformation, and processing.
• Lead the model development lifecycle: data cleansing, feature engineering, training, validation, and deployment.
• Collaborate closely with production engineering teams to operationalize ML models.
• Perform predictive and statistical modeling to support data-driven decision-making.
• Contribute to text analytics and NLP initiatives to enhance insights from unstructured data.
• Work with stakeholders to understand requirements and translate them into scalable ML solutions.
• Document processes, methodologies, and best practices for model building and deployment.

Job Requirements

Mandatory Skills

• Strong proficiency in BigQuery SQL.

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  Hands-on experience in Machine Learning, Data Science, Predictive Modeling, and Statistical Modeling.
• Expertise in model deployment and working with engineering teams for productionization.
• Experience with Python/R and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
• Solid understanding of data cleansing, preprocessing, and feature engineering.
• 5 years of professional experience in Machine Learning and Data Science roles.
• Bachelors/Masters in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Good to Have

• Experience in the mortgage/financial domain.
• Knowledge of Text Analytics / NLP techniques (e.g., sentiment analysis, topic modeling, NER).
• Familiarity with cloud platforms (GCP preferred, AWS/Azure is a plus).