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Lead Data Scientist
1 month ago
Title: Lead Data Analyst (Product Engineering)
As Data Analytics Manager you enable decision making for the company by providing day-to-day analytics, trends, patterns to business and product teams. Ability to understand requests from Product and Business teams and the person need to have experience in large data handling, analysis and implementation of statistical techniques, knowledge of sql, python
Key Responsibilities:
- Design and build Machine Learning, Deep Learning, and NLP models and applications to power the existing front office/back office applications and for new products.
- Generate scalable and high-performance Prediction, Evaluation, Recommendation, anomaly detection, chat bots and sentiment analysis from structured/unstructured Big Data.
- Determine the best AI technique, Machine learning algorithms for use cases specific to the match making business.
- Identify opportunities, Design and develop embedded AI features for the suite of matrimony.com products working closely with the Product and Technology teams.
- Identify and implement on-going improvement in the intelligence of product components through computer vision-based solutions, recommendation engines, payment propensity models and Platform abuse/Fraud detection.
Skills & Competencies :
- Prior experience in working with large data sets and statistically interpreting it
- Knowledge of Python, ML algorithms, libraries Numpy/Pandas/scikit-learn/Keras/Theano/TensorFlow and SQL
- Strong programming skills
- Prior experience in working with big data platforms like Hadoop, Spark, Hive, Pig
- Good knowledge of statistical techniques
- Knowledge of NLP techniques and image processing
- Knowledge of AWS ML stack will be desirable
- Experience with visualization tools like Tableau will be nice to have
- Good past experience of working on client projects mining and analysing data, generating patterns, trends, and insights
- Ability to multi-task and work simultaneously on various ‘run the company’, ‘change the company’ projects.
- Should be able to work with minimal supervision from the stage of gathering/eliciting requirements, building and testing models with key model evaluation metrics through to production deployment
- The candidate should have good written, oral communication skills and anability to work with senior stakeholders to define key business questions and organize data sets that can answer those questions. He or she should be passionate about data and aspire to be a go-to-person for data related understanding of the overall business
- B.Tech / MS / M.Tech or Ph.D. in Computer Science, Machine Learning, AI, or related field.
- Prior experience with India facing B2C internet companies, dating and match making services and start-up environment will be a plus.
- Years of experience – 9 yrs with minimum 5-6 years working as an Data Scientist.
Location : Chennai
Company Profile :
Matrimony.com Ltd is India's first pure play Wed-Tech Company to get listed on BSE and NSE. Its flagship brand Bharat Matrimony is the largest and the Most Trusted Matrimony Brand (as per the Brand Trust Report 2014). Over 3000 associates serve close to 6 million members. The company provides both matchmaking and wedding related services and is also complemented by 100+ company-owned retail outlets. Its flagship matchmaking services are Bharat Matrimony, Elite Matrimony and Community Matrimony.
Jodii, a game changing vernacular matrimony service for common people was launched in 2022. With Jodii, Matrimony.com serves all facets of people on the economic spectrum – ranging from the HNI to the commoner. With a strong leadership in matchmaking, the company has fast expanded into the $55 billion wedding services Industry: Wedding Bazaar – the Largest Wedding Services Provider and Mandap.com – the Largest Online Wedding Venues Platform.
Matrimony has also forayed into international markets with its UAE operations completing over 4 years and Bangladesh operations commencing in year 2021. The goal is to build a billion-dollar revenue company and a long-lasting institution with a legacy for the generations to come.
