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Data Scientist

Karnataka, India (On-site)

Data Scientist

2 Months ago • 3-5 Years • Artificial Intelligence

About the job

10 skills required for this role

Test your skills to join the top 1% applicants for this job

tensorflow

algorithms

prototyping

deep-learning

aws

keras

python

pytorch

data-science

saas-business-models

Job Description

SparkCognition seeks a Data Scientist with 3-5 years of experience. You'll build an AI-enabled SaaS platform for renewable energy, leveraging machine learning algorithms, deep learning frameworks, and programming skills in Python and R. Strong written and verbal communication skills are essential.

Must have:

Machine Learning
Deep Learning
Python & R
Data Science

Good to have:

Renewable Energy
Time Series
Cloud-native Tools
Workflow Orchestration

Perks:

Equal Opportunity
Reasonable Accommodations

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About the job

Who are we and why this opportunity?

SparkCognition, Inc. delivers world-class AI solutions that allow a business to solve their most critical problems, empowering them to run a more sustainable, safer, and profitable business. Our award-winning AI solutions predict future outcomes, optimize processes, and prevent cyberattacks. We partner with the world’s industry leaders to analyze, optimize, and learn from data. We augment human intelligence, drive profitable growth, and achieve operational excellence.

Drive change and create a footprint. Learn more at: SparkCognition

Position Summary:

SparkCognition’s Renewable Suite is the world's leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing renewable energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our platform works across multiple asset types such as wind, solar, storage and DC coupled assets to offer insights to our customers across their fleets. As a Data Scientist you will be working closely with team members across domains with deep technical skills and passion for clean energy.

Join us in:

Bringing large volumes of data from wind, solar, storage sites to cloud

Building an Asset Performance Management and Predictive Analytics platform for renewables

Architecting scalable data ETL, MLOps pipelines, data ingestion and workflows

Work closely with delivery engineering team for successful hand-off of with detailed documentation of ETL and customer workflow

You’ll have:

Masters in Data Science, Statistics, Engineering or related fields or 3-5 years of relevant experience

Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application.

Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch. Experience with machine learning frameworks, such as sci-kit-learn, PyTorch, TensorFlow, and Keras

Excellent programming skills in prototyping languages such as Python and R

Independent thinking skills and the desire to learn new techniques/technologies

Strong written and verbal communication skills with the ability to translate complex technical topics to internal and external stakeholders

Most importantly, a can-do attitude and desire to make a difference is an absolute must

It would be great if you had:

Experience in renewable energy or IoT time series data

Experience in workflow orchestration technologies like Airflow or Prefect

Experience working with cloud-native tools, particularly AWS or GCP

SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.

SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

SparkCognition is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.

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