EXL IT service management
Location
Mumbai | India
Job description
JOB DESCRIPTION OF SME Data Scientist
Responsibilities :
- 8 -10+ years of hands-on experience in data science and AI/ML
- Use predictive modelling to increase and optimize power generation, price, cost savings, customer experiences and other business outcomes
- 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, Naïve 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.
- 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:
- 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.
Experience (Min. - Max. in yrs.): 8+ years of core/relevant experience
Location: Mumbai (Onsite)
Job tags
Salary
