Senior Data Scientist
2 months ago
About the Company:
Everest DX – We are Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.
Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speed digital transformation.
Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.
Notice Period: Immediate or 15 days.
Work Location: Hyderabad, Telangana (Work from office)
About the role:
The Data Science will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines.
Required Experience:
- 9+ years of overall experience that includes at least 4+ years of hands-on work experience Data Science / Machine learning
- Minimum 4+ year of SQL experience
- Minimum 2+ years of Python and Pyspark experience
- Experience in DevOps and 2+ yrs in Machine Learning (ML) with hands-on experience with one or more cloud service providers AWS, GCP, (Azure preferred) is preferred
- BE/B.Tech in Computer Science, Maths, technical fields.
- Stakeholder engagement-BU, Vendors.
Skills, Abilities, Knowledge:
- Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plusProgramming Skills – Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQLStatistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
- Cloud (Azure) – Experience in Databricks and ADF is desirable
- Familiarity with Spark, Hive, Pig is an added advantage
- Model deployment experience will be a plus
- Experience with version control systems like GitHub and CI/CD tools
- Experience is Exploratory data Analysis
- Knowledge of ML Ops / DevOps and deploying ML models is required
- Experience using MLFlow, Kubeflow etc. will be preferred
- Experience executing and contributing to ML OPS automation infrastructure is good to have
- Exceptional analytical and problem-solving skills
- Experience building statistical models in the Commercial, Net revenue Management or Supply chain space is a plus
Education: Bachelor’s Degree and equivalent work experience.
Job Type: Fulltime
Equal Opportunity & Diversity Statement
At EverestDX, we are proud to be an equal opportunity employer committed to fostering diversity and inclusion in the workplace. Our employment decisions are based on merit, qualifications, and business needs, without regard to race, color, creed, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability.
EverestDX is an equal opportunity employer, dedicated to diversity and inclusion in every aspect of our workplace.
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