Lead Data Scientist

5 - 8 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Job Description

Data Scientist

Responsibilities:

  • Data Analysis: Conduct in-depth analysis using advanced Python libraries (e.g., pandas, NumPy) and SQL.
  • Statistical Analysis: Apply statistical methods (e.g., hypothesis testing, regression) to extract insights from data.
  • Data Visualization: Create clear, informative dashboards and reports using tools like Tableau, Power BI, or Matplotlib/Seaborn.
  • Business Insights: Translate complex data into actionable recommendations.
  • Data Quality: Ensure data accuracy, completeness, and integrity across all sources.
  • Data Modeling: Design and maintain predictive models to support business decision-making.
  • Collaboration: Work closely with cross-functional teams, including product, marketing, and engineering, to support data-driven strategies.

Requirements:

  • 5-8 years of experience in data analysis, preferably with a focus on statistical methods o machine learning.
  • Strong proficiency in SQL and Python, particularly in libraries used for statistical analysis (e.g., statsmodels, SciPy).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and Python-based visualization libraries (e.g., Matplotlib, Seaborn).
  • Strong understanding of data modeling concepts, including experience with databases and cloud-based platforms (e.g., AWS, GCP, Azure).
  • Proficiency in statistical techniques, including hypothesis testing, A/B testing, regression analysis, and time series analysis.
  • Knowledge of machine learning algorithms (e.g., random forests, k-means) is a plus.
  • Excellent communication skills, with the ability to explain complex analysis to both technical and non-technical audiences.

Preferred Qualifications:

  • Experience with big data platforms (e.g., Hadoop, Spark).
  • Master’s degree or higher in computer science, statistics, mathematics, or a related field from a tier 1 college.
  • Experience implementing machine learning models in production environments.
  • Familiarity with cloud-based data platforms and data engineering practices.

Company Profile:

Inshorts Group is a leading tech startup in the short-form content space. Our innovative platforms Inshorts and Public have been downloaded by more than 300 million users.

• Inshorts, our flagship product,is India's highest-rated and #1 short news app, serving over 12 million active users in India with concise 60 word shorts tailored to smartphone users wanting to get updated of news quickly.

• Public, our second platform is the largest platform for hyperlocal content in India, with 70 million active users in India, providing timely updates and information relevant to the users towns and cities. We also provide cutting-edge and bespoke advertisement solutions for brands. Brands continue to trust us year after year owing to the multiple innovative award-winning campaigns we have delivered for them across sectors and seasons.

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