Join our data science team to unlock insights from complex datasets and build predictive models that drive business decisions. As a Data Scientist at Quml, you'll work on diverse projects spanning customer analytics, forecasting, optimization, and experimental design. You'll have the opportunity to work with large-scale datasets and translate analytical findings into actionable business strategies.

What you will do

• Analyze large datasets to identify patterns, trends, and opportunities for business growth
• Build and validate predictive models for forecasting, classification, and optimization
• Design and execute A/B tests to measure impact of product features
• Create data visualizations and dashboards to communicate insights to stakeholders
• Develop statistical models for customer segmentation and behavior analysis
• Collaborate with engineering teams to productionize data science solutions
• Perform exploratory data analysis to generate hypotheses and guide research directions
• Build automated reporting pipelines for key business metrics
• Present findings and recommendations to technical and non-technical audiences

Requirements

• Master's or PhD in Statistics, Mathematics, Computer Science, or related quantitative field
• 3-6 years of experience in data science or analytics roles
• Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn)
• Expertise in statistical analysis, hypothesis testing, and experimental design
• Experience with data visualization tools (Matplotlib, Plotly, Tableau)
• Solid understanding of machine learning algorithms and when to apply them
• Proficiency in SQL for complex data queries and transformations
• Strong communication skills for presenting technical concepts to diverse audiences
• Experience with Jupyter notebooks and reproducible research practices

Preferred Qualifications

• Experience with big data technologies (Spark, Hive, Presto)
• Knowledge of causal inference and econometric methods
• Familiarity with deep learning for structured data (TabNet, etc.)
• Experience with time series forecasting and anomaly detection
• Understanding of recommendation systems and ranking algorithms
• Knowledge of Bayesian statistics and probabilistic programming
• Experience with cloud-based data platforms (AWS, GCP, Databricks)
• Published research or contributions to data science community

What You'll Work On

• Building customer lifetime value prediction models
• Analyzing user behavior data to improve product engagement
• Developing churn prediction and retention strategies
• Creating pricing optimization models using market data
• Designing attribution models for marketing effectiveness

Perks & Benefits

• Competitive salary package (₹15-28 LPA based on experience)
• Remote-friendly work environment
• Comprehensive health insurance
• Budget for conferences, courses, and professional development
• Access to cloud compute resources and data platforms
• Equity compensation and performance bonuses
• Collaborative data-driven culture
• Opportunity to influence business strategy with data insights
• Flexible working hours and generous leave policy
• Premium hardware and analytics tools

We're committed to creating an inclusive and diverse workplace where everyone can thrive. Quml is proud to provide equal opportunity to all qualified applicants regardless of race, color, ancestry, religion, gender, age, or any other protected characteristic.