Data Scientist

Unico Connect LLP.

Mumbai

Vor Ort

INR 4.000.000 - 7.000.000

Vollzeit

Vor 13 Tagen

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Zusammenfassung

Unico Connect LLP in Mumbai seeks a Senior Data Scientist to turn client data into measurable business outcomes, spanning experimentation design, predictive modeling, productionised analytics, and storytelling for executives.

The role leads end-to-end data projects, builds forecasting and classification models, analyzes A/B experiments, and creates dashboards for non-technical stakeholders while mentoring junior team members.

Qualifikationen

  • Master's or Bachelor's degree in a quantitative field.
  • 5+ years of data science with at least 1 model deployed in production.
  • Strong Python and SQL proficiency (pandas, scikit-learn, NumPy).
  • Solid statistics fundamentals including hypothesis testing, regression, and causal inference.
  • Hands-on with PyTorch, TensorFlow, or XGBoost / LightGBM.
  • Experience with cloud data warehouses (BigQuery, Snowflake, or Redshift).
  • Strong communication skills for translating findings to non-technical audiences.

Aufgaben

  • Lead end-to-end data science projects from problem framing through to production deployment.
  • Build forecasting, classification, segmentation, and ranking models for client products.
  • Design and analyse A/B experiments with appropriate statistical rigour.
  • Build executive dashboards and storytelling decks for non-technical stakeholders.
  • Partner with AI Engineers and MLOps on productionising models and monitoring.
  • Set up data quality checks, feature monitoring, and re-training pipelines.
  • Mentor junior data analysts or scientists on methodology and stakeholder communication.
  • Maintain reproducible analysis notebooks and version-controlled data pipelines.
  • Run weekly experiment reviews and quarterly model performance retrospectives.
  • Communicate model assumptions, limitations, and confidence intervals clearly to product stakeholders.

Kenntnisse

Python
SQL
Statistics
Model deployment
Communication
Experiment design

Ausbildung

Bachelor's or Master's in Statistics/CS/Math

Tools

BigQuery
Snowflake
Redshift
Airflow
Dagster
Prefect
Pandas

Jobbeschreibung

Unico Connect is seeking a Senior Data Scientist to turn client data into measurable business outcomes. The role spans experimentation design, predictive modelling, productionised analytics, and storytelling that lands with executives. The position is well suited to senior data scientists who balance statistical rigour with the engineering instincts needed to ship models to production.

Responsibilities:
  • Lead end-to-end data science projects from problem framing through to production deployment
  • Build forecasting, classification, segmentation, and ranking models for client products
  • Design and analyse A/B experiments with appropriate statistical rigour
  • Build executive dashboards and storytelling decks for non-technical stakeholders
  • Partner with AI Engineers and MLOps on productionising models and ongoing monitoring
  • Set up data quality checks, feature monitoring, and re-training pipelines
  • Mentor 1-2 junior data analysts or scientists on methodology and stakeholder communication
  • Maintain reproducible analysis notebooks and version-controlled data pipelines
  • Run weekly experiment reviews and quarterly model performance retrospectives
  • Communicate model assumptions, limitations, and confidence intervals clearly to product stakeholders
Qualifications:
  • Master's or Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field
  • 5+ years of data science with at least 1 model deployed in production
  • Strong Python (pandas, scikit-learn, NumPy) and SQL
  • Solid statistics fundamentals including hypothesis testing, regression, and causal inference
  • Hands-on with at least 1 of PyTorch, TensorFlow, or XGBoost / LightGBM
  • Experience with cloud data warehouses (BigQuery, Snowflake, or Redshift)
  • Strong communication skills for translating technical findings to non-technical audiences
  • Demonstrated track record running experiments at scale
  • Comfort owning end-to-end data pipelines from ingestion through to dashboards
  • Working knowledge of orchestration tools such as Airflow, Dagster, or Prefect
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