Data Scientist

Job ID:NA Experience:2+ Years Location:India

Objectives of this Role

Collaborate with product design and engineering to develop an understanding of needs
Research and devise innovative statistical models for data analysis
Communicate findings to all stakeholders
Enable smarter business processes—and implement analytics for meaningful insights
Keep current with technical and industry developments

Daily and Monthly Responsibilities

Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and business groups
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and Interpret data with a clear objective in mind
Implement analytical models into production by collaborating with software developers and machine learning engineers.
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Skills and Qualifications

Bachelor’s degree in statistics, applied mathematics, or related discipline
4+ years’ experience in data science
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience
Experience with Excel, PowerPoint, Tableau/Power BI, SQL, and programming languages (i.e., Java/Python, R), ML, AI, Deep learning, Neural network
Practical understanding of data structures and algorithms
Experience with deep learning frameworks (PyTorch, TensorFlow, OpenCV etc.)/ NLP frameworks (spaCy, NLTK, gensim, etc.)
Comfort working in a dynamic, research-oriented approach with multiple ongoing concurrent projects

Preferred Qualifications