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Data Scientist

Data Scientist

GSM People ConsultingNavi Mumbai
4 days ago
Job description

We are looking for a Mid-Level Data Scientist with 4-6 years of experience in managing and analyzing financial datasets. The ideal candidate should have strong expertise in data collection, cleaning, processing, and visualization, along with hands-on experience in Google BigQuery, SQL, Python or JS, Power Bi and modern BI tools. Exposure to financial datasets such as company fundamentals, technical indicators, and trading analytics will be a strong advantage.

Why Join Us?

  • Innovative Work Work on exciting projects that drive transformation.
  • Growth Opportunities Learning & career development opportunities.
  • Collaborative Culture Be part of a skilled and passionate team.
  • Competitive Salary & Perks We value your contributions!

Role & Responsibilities :

  • Collect, clean, and structure large volumes of financial, trading, and operational data.
  • Build and optimize data pipelines for ingestion, transformation, and storage using BigQuery and other modern tools.
  • Work with structured and unstructured datasets, including company fundamentals, technical market indicators, and real-time trading data.
  • Design and maintain dashboards and analytics in Power BI, Looker Studio, or similar BI platforms to provide insights for internal teams.
  • Collaborate with engineering and product teams to integrate analytics seamlessly into trading applications.
  • Implement and manage ETL / ELT workflows ensuring high-quality, accurate, and timely data availability.
  • Conduct exploratory data analysis (EDA) and build models to derive actionable insights.
  • Ensure data governance, quality checks, and compliance with industry best practices.

    • Skills & Qualifications :

  • 4+ years of experience as a Data Scientist / Data Engineer / Analytics Specialist.
  • Strong expertise in SQL and Google BigQuery for large-scale data handling.
  • Proficiency in Python or JS for data analysis and processing.
  • Experience with BI tools such as Power BI, Looker Studio, or Tableau.
  • Familiarity with ETL / ELT workflows and data warehousing concepts.
  • Hands-on experience with cloud platforms (GCP, AWS, or Azure) for data pipelines and analytics is a plus.
  • Knowledge of financial datasets fundamentals, technical indicators, and trading data is a plus.
  • Strong problem-solving, analytical thinking, and data storytelling skills.
  • Excellent communication and collaboration abilities in a fast-paced product-driven environment.

    • (ref : hirist.tech)

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    Data Scientist • Navi Mumbai