Verified Job
IT / Software / Data Analyst
Senior Data Scientist
IT / Software / Data Analyst
#16420
Remote / WFH
EPAM Systems
Job Description
Job description
We are seeking a Senior Data Scientist to join our team and drive innovation by leveraging your expertise in statistical data analysis, machine learning, and NLP to create and deliver impactful AI solutions.
As a Senior Data Scientist, you will work on challenging projects that require end-to-end involvement, from data preparation to model deployment, all while working collaboratively with cross-functional teams and delivering production-ready solutions.
Responsibilities
Develop, implement, and evaluate AI solutions, including classification, clustering, anomaly detection, and NLP
Apply advanced statistical techniques and machine learning algorithms to solve complex business problems
Utilize Python and SQL to write production-level code and perform comprehensive data analysis
Implement model development workflows, including ML Ops, and feature engineering techniques
Utilize Azure AI Search and other tools to make data and models accessible to stakeholders
Collaborate with software development and project management teams, leveraging version control tools like GitLab and project tracking software like Jira
Optimize data pipelines and model performance for real-world applications
Communicate technical concepts effectively to both technical and non-technical audiences
Stay updated on emerging technologies, applying a problem-solving mindset to integrate them into projects
Ensure adherence to Agile development practices and maintain fluency in UNIX command line operations
Requirements
5+ years of experience in Data Science
Proficiency in statistical data analysis, machine learning, and NLP with practical applications and limitations
Expertise in Python programming and SQL, with experience in data analysis libraries and production-level code
Background in developing AI solutions, including classification, clustering, anomaly detection, or NLP
Familiarity with ML Ops and feature engineering techniques, with hands-on experience in model workflows
Flexibility to use tools like Azure AI Search to make models accessible for business use
Competency in software development methodologies and code versioning tools such as GitLab
Knowledge of project management tools such as Jira and Agile development practices
Qualification in working with UNIX command line and problem-solving with innovative technologies
B2 level of English or higher, with an emphasis on technical communication skills
Nice to have
Familiarity with Cloud Computing, Big Data tools, and/or containerization technologies
Proficiency in data visualization tools for clear communication of insights
We are seeking a Senior Data Scientist to join our team and drive innovation by leveraging your expertise in statistical data analysis, machine learning, and NLP to create and deliver impactful AI solutions.
As a Senior Data Scientist, you will work on challenging projects that require end-to-end involvement, from data preparation to model deployment, all while working collaboratively with cross-functional teams and delivering production-ready solutions.
Responsibilities
Develop, implement, and evaluate AI solutions, including classification, clustering, anomaly detection, and NLP
Apply advanced statistical techniques and machine learning algorithms to solve complex business problems
Utilize Python and SQL to write production-level code and perform comprehensive data analysis
Implement model development workflows, including ML Ops, and feature engineering techniques
Utilize Azure AI Search and other tools to make data and models accessible to stakeholders
Collaborate with software development and project management teams, leveraging version control tools like GitLab and project tracking software like Jira
Optimize data pipelines and model performance for real-world applications
Communicate technical concepts effectively to both technical and non-technical audiences
Stay updated on emerging technologies, applying a problem-solving mindset to integrate them into projects
Ensure adherence to Agile development practices and maintain fluency in UNIX command line operations
Requirements
5+ years of experience in Data Science
Proficiency in statistical data analysis, machine learning, and NLP with practical applications and limitations
Expertise in Python programming and SQL, with experience in data analysis libraries and production-level code
Background in developing AI solutions, including classification, clustering, anomaly detection, or NLP
Familiarity with ML Ops and feature engineering techniques, with hands-on experience in model workflows
Flexibility to use tools like Azure AI Search to make models accessible for business use
Competency in software development methodologies and code versioning tools such as GitLab
Knowledge of project management tools such as Jira and Agile development practices
Qualification in working with UNIX command line and problem-solving with innovative technologies
B2 level of English or higher, with an emphasis on technical communication skills
Nice to have
Familiarity with Cloud Computing, Big Data tools, and/or containerization technologies
Proficiency in data visualization tools for clear communication of insights
