Data Scientist

3 days ago


Mumbai, India GSM People Consulting Full time

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 contributionsRole & 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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