Data Analyst - R&D

Responsibilities
black small square Architect a data-based solution for the business problem presented.
black small square Collaborate with different MSIL Departments for their data requests & build solutions that automate their daily tasks thereby saving man hours.
black small square Understand the Time-Series Telematics data generated from the vehicle.
black small square Clean up and Prepare datasets for modeling, get involved in ETL process if required.
black small square Build KPIs/metrics by applying data transformation techniques such as aggregation, resampling, filtering etc.
black small square Exploratory data and get insights. Present the descriptive stats and insights to the domain experts. Find meaningful patterns in data, detect seasonality and trend, establish cause and effect relationships in data. Develop & Test hypothesis in collaboration with the domain experts.
black small square Design features, shortlist features, study feature importance, decide the ML strategy. black small square Build data pipelines for data extraction, cleaning, transforming, feature extraction, and machine learning
black small square Data modelling, selection of an appropriate machine learning / deep learning model, data pipeline setup for model training, hyper-parameter tuning, validation and test. Apply ensemble model techniques (if required)
black small square Reporting & Visualization: Comprehension of reports, visualization of data in the form of plots, generate reports using BI tools, develop live updating dashboards.

Essential
Technical Skills / Experience:
black small square Must have a hands-on experience with Python. Worked on libraries- Numpy, Pandas, Matplotlib.
black small square Experience building and training machine learning models for classification, regression and clustering (e.g. Generalized Linear Models, Boosting, Decision Trees, Neural Networks, SVM, Bayesian Methods, time series models, KMeans, Hierarchical clustering etc.)
black small square Knowledge about summarizing data, generating graphs, charts and reports. Desirable:
black small square Experience with BI tools - Power BI, IBM Cognos etc.
black small square Experience building RESTful APIs.
black small square Experience with back-end/front-end development.
black small square Working experience with cloud computing platforms such as AWS / IBM
black small square Ability to write scalable SQL queries
black small square Experience In Spark Or Other Distributed Computing Frameworks.
black small square Experience in time-series/IoT data analytics
black small square Exposure to automotive systems, automobile basics, Controller Area Network protocol (CAN protocol) etc.
Behavioral
black small square Excellent interpersonal skills
black small square Creativity and ability to bring in innovative ideas for Kaizen and solving everyday problem
Educational Requirement
BE/ B Tech with 60% marks and certification course/diploma in Data science