This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 7000000 (ie INR 30-70 LPA)

Min Experience: 5 years

JobType: full-time

We are seeking an experienced Chief Data Scientist to lead the development of a cutting-edge, data-driven matchmaking algorithm that enables users to make deeply informed and meaningful relationship choices. By leveraging psychometric testing and AI technologies, you will play a pivotal role in transforming the matchmaking experience.

This role requires a seasoned leader with deep expertise in data science, machine learning, and psychometrics, and a strong track record of delivering AI-powered products. You will work closely with product, engineering, and growth teams to build a highly scalable, innovative platform.

Requirements

Key Responsibilities

Algorithm Development & Optimization

• Lead the design, development, and iterative improvement of the matchmaking algorithm based on data-driven insights.
• Identify and incorporate key data signals that influence successful matchmaking outcomes.
• Optimize the algorithm for scalability and performance without compromising accuracy or speed.

Data Analysis & Hypothesis Testing

• Develop and test hypotheses about factors driving successful matches, leveraging user behavior and engagement data.
• Design and execute A/B and multivariate tests to validate hypotheses and enhance algorithmic efficiency.
• Apply statistical models and machine learning techniques to uncover hidden patterns within large datasets.

Scalability & Performance at Scale

• Ensure the matchmaking algorithm can handle growing user bases with optimized performance.
• Collaborate with data engineering teams to build robust, real-time data pipelines.
• Implement distributed computing solutions to manage large-scale computations effectively.

Data Engineering & Infrastructure

• Partner with data engineering teams to create scalable data infrastructure supporting algorithmic needs.
• Oversee the development of real-time, high-quality data pipelines.
• Ensure efficient data storage, collection, and retrieval processes aligned with legal and compliance standards.

Performance Monitoring & Improvement

• Monitor key metrics like match success rates, user engagement, and retention to track algorithm performance.
• Analyze behavioral data to enhance the predictive accuracy and personalization of recommendations.
• Continuously iterate and refine the algorithm to improve user outcomes.

Machine Learning & AI Integration

• Integrate advanced machine learning models to boost matchmaking predictions, user segmentation, and personalization.
• Develop adaptive recommendation systems that evolve based on real-time user data.
• Leverage AI to automate decision-making processes and optimize the overall user experience.

Data Strategy & Governance

• Define and implement strategies for high-quality data collection to fuel machine learning and analytics efforts.
• Establish best practices for data governance, privacy, and security in compliance with regulations like GDPR and CCPA.
• Collaborate with legal and compliance teams to ensure ethical use of user data.

Key Qualifications

Data Science Expertise

• 6+ years of experience in data science, focusing on machine learning, algorithm development, and optimization.
• Strong background in working with large datasets and building recommendation or matchmaking systems.
• Expertise in predictive modeling, statistical analysis, and both supervised and unsupervised learning techniques.

Scalability & Performance Optimization

• Experience developing scalable algorithms for large, data-intensive applications.
• Knowledge of distributed computing, parallel processing, and real-time data architectures.

Technical Skills

• Proficient in Python, R, or similar programming languages and data science libraries (e.g., Pandas, TensorFlow, Scikit-learn).
• Skilled in A/B testing, experimentation frameworks, and data visualization tools like Tableau or Power BI.
• Familiarity with data engineering practices and large-scale data management.

Leadership & Collaboration

• Strong leadership skills, including experience building and managing data science teams.
• Ability to communicate complex technical ideas clearly to non-technical stakeholders.
• Proven experience collaborating across product, engineering, and business functions to drive results.

Business Acumen

• Ability to align data science initiatives with broader business goals.
• Prior experience or familiarity with matchmaking, recommendation engines, or consumer technology platforms is an advantage.

Desired Skill Set

• Deep understanding of psychometric testing and its integration into machine learning models.
• Expertise in AI, machine learning, natural language processing (NLP), and behavior prediction algorithms.
• Experience with big data technologies like Hadoop, Spark, and cloud platforms such as AWS, Google Cloud, or Azure.
• Strong knowledge of security protocols and fraud detection practices.
• Strategic thinking and the ability to translate complex data into actionable business insights.

Education & Experience

• Bachelor’s, Master’s, or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field from a reputed institution (Ivy League preferred).
• 7+ years of experience in data science and machine learning roles, with at least 3 years in a leadership position.
• Proven success in developing and deploying AI-driven products, preferably in the matchmaking, dating, or consumer technology industries.
• Experience with psychometric analysis, behavioral modeling, and personalized AI-driven user experiences.