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 here @ Rapido.
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, CompSci, Econ, Physics, Engineering or related scientific disciplines; preferably from a premier scientific institute like ISI,IISC, IIIT, NIT etc
● 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, TensorFlow, 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