Senior Data Scientist - (Python, ML, Numpy , Professional Services) na Jda

Scope:

You will work closely with customers, product teams, and engineering to:

• Onboard new clients and configure solutions to their data and business needs.

• Validate data quality and integrity.

• Deploy and monitor machine learning models in production.

• Execute existing ML pipelines to train new models and assess their quality.

• Interpret model performance and provide insights to both customers and internal teams.

• Communicate technical concepts clearly to non-technical stakeholders.

• Provide actionable feedback to product and R&D teams based on field experience.

Our Technical Environment:

• Languages: Python 3.*, SQL

• Frameworks/Tools: TensorFlow, PyTorch, Pandas, NumPy, Jupyter, Flask

• Big Data & Cloud: Snowflake, Apache Beam/Spark, Azure, GCP

• DevOps & Monitoring: Docker, Kubernetes, Kafka, Pub/Sub, Jenkins, Git, TFX, Dataflow

What you’ll do:

• Collaborate with customers and internal teams to understand data, business context, and deployment requirements.

• Perform data validation, enrichment, and transformation to ensure readiness for modelling.

• Execute pre-built ML pipelines to train and retrain models using customer data.

• Evaluate and interpret model performance metrics to ensure quality and stability.

• Monitor model behaviour and data drift in production environments.

• Troubleshoot issues related to data pipelines, model behaviour, and system integration.

• Clearly explain model behaviour, configuration, and performance to customer stakeholders.

• Gather insights from customer engagements and provide structured feedback to product and engineering teams to drive product enhancements.

• Document processes and contribute to playbooks for scalable onboarding.

• Train and mentor junior PS team members.

What We’re Looking For:

• Bachelor’s or master’s in computer science, Data Science, or related field with 5 to 10yrs of experience

• Strong understanding of machine learning and data science fundamentals.

• Proven experience deploying and supporting ML models in production.

• Experience executing ML pipelines and interpreting model performance.

• Excellent problem-solving and debugging skills.

• Strong communication skills with the ability to explain complex technical topics to non-technical audiences.

• Experience working directly with customers or cross-functional teams.

• Familiarity with monitoring tools and best practices for production ML systems.

• Experience with cloud platforms (Azure or GCP preferred).

• Bonus: Experience in supply chain, retail, or similar domains.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.