TATA Power | Data Scientist - Predictive Modeling/Machine Learning | Mumbai, Maharashtra, The Great Bharat | Bharat | BigDataKB.com

Job Location: Mumbai, Maharashtra, The Great Bharat

Job Detail:

The position is based out of Mumbai and will be part of D&IT (Digitalization & Information Technology), tasked with improving the data science and AI/ML capabilities and delivery excellence that guides decision-making across Clusters (Generation, Renewables, Transmission & Distribution, NBS etc.) and Corporate Functions (Finance, HR etc.). You will lead and mentor a team of data scientists as you partner closely with peer data engineers and web/Power BI developers to create data & insights-driven solutions to business problems. The ability to convert problem statement into analytical solutioning, build POC with high accuracy, mass deployment and create scalable/reusable assets & best practices are critical to be successful in this role. Our business is evolving quickly, and we need you to think long term, but deliver incrementally and drive business impact.

Tata Power with its competitive edge of resources is playing a key role in the transformation process and aims to emerge as a most admired integrated Power and Energy company. We at Tata Power believe that investment in people and their potential is one of the greatest investments we can make. For this, we are constantly in search of talent that is curious, creative, communicative, and passionate, that can perform excellently. Does that sound like a compelling place to work?

Key Deliverables

Use predictive modelling to increase and optimize power generation, price, cost savings, customer experiences and other business outcomes
You will be required to discuss and use various algorithms and approaches daily.
Leading the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation. Agile SCRUM and MLOps experience is preferred.
Develop reusable/scalable assets and accelerators. Implement ML best practices.
Work directly with our internal technical teams to ensure that our solutions are seamlessly and effectively integrated
Analyse the market and industry trends in the technology and proactively look for opportunities in proposing the best solutions. Proactively research on upcoming ML techniques and best practices.
Responsible for coding, testing, debugging, evaluating solution/ technology options (including Cloud), and documenting application development
Migrate current analytics applications & pipelines to Cloud in future

Skills and Experience Required :

Experience in statistical modelling, machine learning, probability theory, algorithms. data mining, unstructured data analytics and natural language processing
Expertise in machine learning techniques such as Clustering, Regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, Deep learning, Neural Network, Topic Modelling, Multivariate Statistics, K-NN, Nave Bayes etc.
Working knowledge of popular Deep Learning architectures and theory, simulation, scenario analysis, constraint optimization, anomaly detection, semi-supervised machine learning, unsupervised learning algorithms using deep learning etc.
Experience with optimization techniques (Linear Programming, Genetic Algorithm, Sim. Annealing, MC Simulation)
Experience in one of the upcoming technologies like deep learning, NLP, NLG, image processing, recommender systems, chatbot, voice AI, video AI etc.
Experience of working on end-to-end data science pipeline: problem scoping, data discovery and extraction, EDA, modelling, evaluation, insights, visualizations, continuous improvement, maintenance, and business value/impact tracking.
Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes.

We’re excited if you have :

Graduate with Engineering Degree (CS/Electronics/IT) / MCA / MCS + Masters in Statistics/Economics/Business Analytics
Ability to interpret complex business requirements and translating them into analytical problems to deliver high value outputs
Experience in Data science work bench in Cloud platforms
Hands-on experience in Python, NLP, Kafka, Spark/Pyspark, Scala, Airflow, Microservices, REST API. Elastic search, PostgreSQL, Power BI,
Strong knowledge on Python, NLP, Google, and Cloud libraries/packages
Experience in text, image, video analytics
Awareness of Data structures – RDBMS, NoSQL and columnar databases.
Experience with configuration management and version control apps (ie: GIT) and experience working within a CI/CD framework is a plus. An even bigger plus if you have experience in Agile, SCRUM and MLOps.
Experience with Cloud technologies and architecture is a plus
Experience in managing multiple projects and stakeholders with excellent communication and interpersonal skills
Ability to develop and organize high-quality documentation
Superior analytical skills and a strong sense of ownership in your work
Ability to thrive in a fast-paced environment, and to manage multiple, competing priorities simultaneously
Experience in Client expectation Management, Project Scoping, Delivery, Project Management, Risk management and Value Tracking
Prior Energy & Utilities industry experience is a big plus