
Senior Data Scientist
- Mumbai, Maharashtra
- Permanent
- Full-time
- Conduct relevant statistical tests to validate hypotheses and ensure data-driven outcomes.
- Design, develop, and deploy advanced statistical and machine learning models to analyze complex datasets, including those from the ‘a’ app and other projects.
- Perform data fusion activities by leveraging techniques to merge, reconcile, and analyze information from disparate systems and formats.
- Employing modern weighing and projection methods to answer key business questions and predict future trends.
- Design and manage interactive dashboards using Power BI for real-time data visualization.
- Perform Exploratory Data Analysis (EDA) to identify patterns, anomalies, and opportunities.
- Collaborate with product and research teams by providing feedback based on analytical findings.
- Analyze survey data to extract actionable insights and trends.
- Define and create Key Performance Indicators (KPIs) based on APP data.
- Serve as the gatekeeper for data maps, ensuring data integrity and accessibility for stakeholders.
- Develop and maintain MIS dashboards
- Data Analysis & Statistical Expertise: Ability to manipulate large datasets, perform data cleaning, and run relevant statistical tests to validate findings and ensure data accuracy
- Proficiency in Data Visualization Tools: Advanced skills in Power BI to design, develop, and maintain interactive, user-friendly MIS dashboards with features like advanced calculations, parameters, joins, and blending.
- Advanced Excel Skills: Expertise in Excel formulas, pivot tables, macros, and dashboard creation to complement BI tools and automate reporting tasks.
- Programming Knowledge: Familiarity with Python for data manipulation, exploratory data analysis (EDA), and predictive modelling enhances analytical capabilities.
- Data Validation & Quality Assurance: Skill in validating data integrity and consistency to ensure reliable dashboard outputs.
- Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights.
- Business Acumen: Understanding of the business context to translate data insights into relevant recommendations and feedback for product and research teams.
- Effective Communication: Ability to present complex data insights clearly and succinctly to internal stakeholders, including senior executives, through reports, dashboards and presentations.
- Stakeholder Management: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports.
- Coaching & Mentoring: Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation
- Experience working with app-based data and multi-project analytics environments.
- Familiarity with analyzing multiple survey data.
- Background in creating and managing KPIs aligned with business objectives.
- Exposure to big data technologies and cloud-based data platforms.
- Ability to work collaboratively in cross-functional teams involving product, research, and engineering stakeholders.
- Must have lead the data science team in past
- Experience of developing algorithm using combination of Data Science and statistics
- MSc in Statistics.
- Strong experience in statistical analysis, predictive modelling and data validation.
- Proficiency in Python and Power BI are necessary with experience of working in libraries used for numerical and text analysis such as Pandas, Numpy, PySpark, NLTK, SpaCy, Scikit-Learn, Genism.
- Experience of working with both parametric and non-parametric methods.
- Advanced knowledge of survey analytics and EDA techniques.
- Excellent communication skills for cross-functional collaboration.
- Experience with MIS dashboard development and KPI creation.
- High attention to detail and commitment to data quality.
- Competitive salary and benefits package
- Opportunity to make significant contributions to a dynamic company
- Walking distance from Chakala metro station, making commuting easy and convenient.