Data Scientist (Professional Services)

0 years

0 Lacs

Posted:6 days ago| Platform: SimplyHired logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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.

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Blue Yonder

Supply Chain Management/Technology

Scottsdale

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