Data Scientist

We’re Hiring: Data Scientist / Machine Learning Engineer (5–7 years experience)

Are you passionate about turning data into real business impact? We’re looking for a Data Scientist / ML Engineer to join our team and help productionize cutting-edge predictive models that power smarter decisions in the fintech and customer engagement space.

What You’ll Do:

• Build, deploy, and optimize predictive models across lending, collections, and CRM use cases.
• Work hands-on with large-scale datasets and modern data pipelines.
• Collaborate with cross-functional teams to translate business challenges into data-driven solutions.
• Apply best practices in MLOps, model monitoring, and governance.
• Communicate insights effectively to drive strategy and roadmap decisions.

What We’re Looking For:

• 4–7 years’ experience as a Data Scientist or ML Engineer, with proven experience productionizing ML models.
• Expertise in Python and libraries like scikit-learn, pandas, numpy, xgboost, PyTorch/TensorFlow, spaCy/NLTK .
• Strong SQL skills and comfort with cloud data lakes, ETL pipelines, and large messy datasets .
• Experience deploying models via REST APIs, Docker, batch/streaming workflows .
• Familiarity with data visualization / BI tools for business reporting.
• A practical MLOps mindset —versioning, monitoring, retraining, and governance.
• Excellent communicator who can operate independently and thrive in dynamic environments.

Nice-to-Have Skills:

Experience with cloud ML platforms ( SageMaker, Vertex AI, Azure ML, Databricks ).

NLP/NLU for chat or voice bots.

Reinforcement learning or optimization exposure.

Experience in regulated industries with focus on explainable AI.

Familiarity with MLOps tools ( MLflow, Kubeflow, Airflow, Dataiku ).

Contributions to open-source or research publications.

Interested candidates kindly share your resumes on shikha@digifocal.in