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 tomorrow's technology and brilliant minds to create it. And we don't focus just on what we do we also care how we do it. So, bring your talent and ambition to make a difference. We'll create a world of opportunities for you.

Job Title:

Work Location:

Work Experience:

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

  .
• 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.
• Bachelor's/Master's 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).