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Data Scientist

2 hours, 7 minutes ago
India
Mid Level
Data Scientist
Data Science and Analytics
Apache Spark AWS Azure Databricks GCP Git Hive LLM Machine Learning NLP NumPy Pandas Python R Reinforcement Learning Scikit-learn Snowflake
Apply Now
Mitratech

Mitratech

Mitratech specializes in automating processes through innovative solutions and services in compliance, risk management, enterprise HR, and legal operations, empowering organizations to effectively manage risks and scale for future growth.

Professional Services
1K-5K
Founded 1987
$3M raised
View All Jobs 10

Description

  • Collect, clean, and explore structured and unstructured datasets to uncover patterns and insights.
  • Build, evaluate, and deploy predictive models and statistical algorithms.
  • Design and analyze A/B tests and controlled experiments to assess product and feature performance.
  • Translate analytical findings into actionable recommendations for business and product decisions.
  • Partner with data engineers, product managers, and software engineers to integrate ML models and analytical pipelines into production systems.
  • Stay current on new methods in machine learning, statistics, and data science tools, and apply them to improve workflows.
  • Establish best practices for data validation, schema management, and observability to ensure data consistency and reproducibility.
  • Profile data processes and improve throughput, latency, and scalability of ML data pipelines.
  • Collaborate with cross-functional teams to integrate ML-driven solutions into production systems.

Requirements

  • 3+ years of experience as a data scientist developing models for enterprise applications.
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field.
  • Proficiency in Python and data science libraries such as pandas, NumPy, scikit-learn, and statsmodels, or proficiency in R.
  • Understanding of machine learning algorithms including regression, classification, and clustering.
  • Experience with experiment design and causal inference.
  • Familiarity with vector databases, retrieval-augmented generation (RAG), or embedding pipelines.
  • Knowledge of privacy-preserving ML, federated learning, or reinforcement learning.
  • Experience with large-scale models such as LLMs and foundation models, or multi-modal AI systems.
  • Familiarity with big data tools such as Spark, Hive, or Snowflake.
  • Background in NLP, time series forecasting, or recommender systems.
  • Experience working with cloud data environments such as AWS, GCP, Azure, OCI, or Databricks.
  • Excellent communication, cross-functional collaboration, and documentation skills.
  • Experience with source code management tools such as Git.

Interested in this position?

Apply directly on the company website

Apply Now

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