Senior data scientist

4 weeks ago

Bengaluru, India Rapido Full time
About Rapido
We are India’s largest bike-taxi platform, steadily venturing into Auto, Delivery, Rental, and more. Currently, present in ~100 cities, we are growing close to ~50% year-on-year with steady funding. We have changed the concept of intra-city travel and made last-mile connectivity affordable to all. Along with being the #1 choice of 40 million people, we have also built a solid captain base of over 5 million registered captains, who have bettered their lives with Rapido. As an employer, we provide a lot of ownership to our team members providing multiple avenues for them to grow within the company. You will only grow with us with the right balance of ambition, fun, and transparent work culture
Rapido Cabs made its debut on May 2023, marking the commencement of its services in eight cities. Notably, Hyderabad, Bangalore, and Delhi stand out as the primary cities for this initial launch. However, the ambitious plan includes an extensive expansion to encompass over 50 cities in the coming 12 months.
Opportunities don't happen, you create them
Job Summary:
As a Senior Data Scientist your will be responsible for understanding product/business priorities, conducting opportunity analysis, defining product level metrics, setting metric targets, building data-driven hypothesis, and running high-quality experiments to hit those targets. A Senior Data Scientist should have an experienced of solving complex data analysis and machine learning problems in a real-world product setting. The role requires someone who is very comfortable working across teams, good at communicating and able to drive analysis and manage multiple streams. Your role would also require you to mentor junior Data Scientists in their learning and development. You will be part of a dynamic team and regularly work with colleagues from other verticals to co-ordinate and collaborate within an increasingly interconnected Data Science team
Job Responsibilities:
Translating business requirements into analytical solutions
Do hands-on data analysis, using statistical techniques
Pre-processing of structured and unstructured data
Should be able to steer direction related to improving data collection for analytical systems
Should be proficient in model development, validation and then roll-out
Understand business challenges and goals to formulate the approach for data analysis and model creation
Tune the model(s) to improve results provided over time
Create an analytics roadmap for the project
Collaborate with a technology/data engineering team to transfer the business understanding, get the model productionized and validate the output
Work in highly collaborative teams that strive to build quality systems and provide business value
Articulate insights and story telling for the senior management
Mentor Junior Data team members in their learning and development
Job Requirements :
Work experience - 4 years as a Data Scientist or equivalent position and overall 6 years
Masters or Ph. D. in Statistics, Math, Comp Sci, Econ, Physics, Engineering or related scientific disciplines;
Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensionality from multiple sources
Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.
Worked in a big data environment before alongside a data engineering team (and data visualization team, data and business analysts)
Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques
Machine Learning - Prior work experience in one or more of these knowledge areas (domain agnostic): Price Modeling, Demand Forecasting, Recommender Systems, User Profiling, Fraud Detectors
Experience in SQL is must
Technologies - Proficiency in Python (must have) and any other prog. language; Specific libraries may include - Scikit-learn, pandas, Tensor Flow, Keras, Torch, Caffe, Theano, etc;
Experience of Pyspark is a plus
Experience with A/B Testing framework
Experience in managing a small team of data scientists is a plus
What’s there for you?
If you are excited to solve Complex Business problems at scale where you will cater to 10 million rides in a day across 100 cities, no better place to be.
You can go swimming in our 100s of TBs of data on self-managed databases
Opportunity to contribute in solving challenging problems like supply-demand matching, demand forecasting, ROI optimization, Segmentation, Causal Inference and many more.
We have a very flat hierarchy and collaboration is our success mantra
Chance to work with a lean team of highly talented and motivated people across all levels
You will be working with cross functional teams and have a great learning curve and business exposure.
Excited to solve challenges? Join Rapido & chase bigger milestones too

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