Lead Data Scientist Jobs

EPAM Anywhere is looking for Lead Data Scientists.

Competitive compensation

We back all payments and operate in compliance with country-specific labor regulations. Your annual paycheck can range from $15k to $200k.

Numerous benefits

Make use of 1,500+ online and location-specific benefits across 30+ countries that also include healthcare and sports programs for you and your family.

Limitless career growth opportunities

Get access to a large-scale ecosystem that consists of educational and career development services created for your growth. A personal skill advisor will support you on each step of this journey.

lead azure developer for retail company

Microsoft Azure

Azure Kubernetes Service, Docker, Helm

40 hrs/week

12+ months

Poland

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Currently, we are looking for a Remote Lead Azure Developer to join our team.

responsibilities

CI/CD for new components and data pipelines
Build product feed ingester to enable TF/Triton models to be updated through events without redeploying
End-to-end testing, monitoring, and alerting
Build simple API to inference model and serve results to clients
Iterate on the architecture/stack by replacing or adding new components while enabling scientists to continuously iterate on the same code base
Build Azure Machine Learning (AML) pipelines

requirements

5+ years of experience with Cloud.Azure
1+ years of leadership experience
Experience with Agile Development environment
Experience with CI/CD pipelines using Azure Dev Ops
Experience with Azure Kubernetes Service
Experience with Docker
Experience with Helm
Experience with Python.core
Knowledge of Apache Spark
Knowledge of Azure Databricks

lead devops engineer for manufacturing company

DevOps.CI/CD

Azure DevOps, Azure Databricks, Microsoft Azure

40 hrs/week

12+ months

Poland

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Currently, we are looking for a Remote Lead DevOps Engineer to join our team.

The customer is scaling up a series of Data science use-cases targeting strategic business-facing stakeholder needs. This is an extension to bring support to a growing team of EPAM and in-house data scientists developing and shipping ML systems within an Azure ecosystem.

responsibilities

Perform full production process audit and gap analysis versus modern best practices on an Azure cloud environment
Advise on and support best practices for the development of data products from data integrity testing, code quality, CI/CD, through deployment and monitoring
Advocate for and educate stakeholders on best practices for code testing and CI/CD best practices
MLOPs liaison ensuring model model monitoring aligns with overall development and production processes
Design, develop, document, and deploy a strategy migrating from a notebook-based production ecosystem to a tightly orchestrated and containerized solution

requirements

5+ years of Azure DevOps experience
5+ years of Azure Databricks experience
Microsoft Azure experience
Python experience

nice to have

Dremio knowledge
Kubernetes knowledge
ML & MLOps Architecture knowledge
MLOps experience
MLflow experience
Test strategy experience

lead data engineer

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

Colombia, Mexico

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We are seeking a passionate remote Lead Data Engineer to join the Customer Success and Support (CSS) Data Engineering team, who will be responsible for designing and building world-class data solutions and applications.

The ideal candidate must have 5+ years of relevant production experience and at least 1 year of relevant leadership experience in building scalable and high-performance data-driven solutions. You will lead a team of experienced Data Engineers to provide high-quality data insights and support to our customers.

responsibilities

Lead and manage a team of experienced Data Engineers to build and maintain scalable data solutions and applications
Collaborate with cross-functional teams including Data Scientists, Product Managers, and Business Analysts to design and implement data-driven solutions
Develop and maintain ingestion pipelines, ETL processes, and data models that can handle large amounts of data
Ensure data quality, consistency, and accuracy by implementing quality checks and data validation processes
Manage and optimize AWS resources and services to ensure cost-effective and efficient use of resources
Create and maintain documentation to help end-users understand the data and insights provided

requirements

5+ years of relevant production experience in building world-class data solutions and applications
1+ years of relevant leadership experience
Strong proficiency in SQL with extensive knowledge of Databricks SQL (Databricks is nice to have, and can be trained)
Strong expertise in Spark, Python (PySpark, writing on top of Airflow), data integration, and modeling
Experience with AWS suite, data modeling, and using REST APIs
Some ETL experience (how to build ETL pipeline)
Proven leadership experience managing and mentoring a team of Data Engineers
Ability to work in a fast-paced and dynamic environment with tight deadlines
Experience working collaboratively in a team environment
B2+ English level

nice to have

Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)

senior data engineer for oil and gas company

Data Software Engineering

Big Data, SQL, Java

40 hrs/week

12+ months

Georgia

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Currently, we are looking for a remote Senior Data Engineer with 3+ years of total experience in Data Engineering projects to join our team.

The customer is a British-Dutch multinational oil and gas company headquartered in the Netherlands and incorporated in England. It is one of the oil and gas "supermajors" and the third-largest company in the world measured by 2018 revenues. You will be responsible for expanding and optimizing the data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

responsibilities

Support the software developers, database architects, data analysts and data scientists on data initiatives
Ensure optimal data delivery architecture is consistent throughout ongoing projects
Be self-directed and comfortable supporting the data needs of multiple teams, systems and products
Be excited by the prospect of optimizing or even re-designing the company’s data architecture to support the next generation of products and data initiatives

requirements

Bachelor of Technology/ Computer science/ Software Engineering with 3+ of experience from a reputed institute and companies
3+ years of total experience in Data Engineering projects and 2+ years of relevant experience on data pipeline services
Data handling from multiple sources: Advanced SQL, blob storage, and querying unstructured data
Experience in data engineering of Industrial Time series data (such as PI/SCADA)
Proven experience in Java and object-oriented programming
Extensive experience in Python/JavaScript using Big Data
Hands-on experience in repo management, version control, and CI/CD pipeline
Unit test preparation to assess the performance of code functionalities
Familiar with REST APIs
Experience with SQL DB/Cassandra
Experience with PL/SQL, Java
Data Warehousing experience with strong domain knowledge & experience working as a Technical lead
English B2+

Lead Data Scientist Jobs

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