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Sme Data Scientist

3 months ago

Mumbai, Maharashtra, India Skillety Technologies Full time

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.

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

We're excited if you have:

6 -10 years of hands-on experience in data science and AI/ML

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.