Data Scientist

GSM People ConsultingNavi Mumbai

30+ 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

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