Experis
Data Scientist Level 2
Experis, Blue Ash, Ohio, United States,
Our Retail domain client is seeking a Data Scientist to join their team. As a Data Scientist you will be part of the client supporting Team. The ideal candidate will have skills Machine Learning (ML) /Data Scientist OR Data Scientist, Python & Cloud (Azure) which will align successfully in the organization.
Job Title: Data Scientist
Location: Hybrid from Cincinnati OH
Pay Range: $70-75/hr.
Job Description:Interviews will be onsite, and they will be working a hybrid schedule, in the office 2-3 day/week.
Job DescriptionAs an Data Scientist, you will have the opportunity to support a team of mixed-skill Engineers that have a direct and meaningful impact on the client Fulfillment Services' Platform roadmap. You will evaluate existing machine learning (ML) processes, perform statistical analysis to resolve data set problems, and improve the accuracy of our ML models. You will assist in design & implementation of cloud-native, well-architected solutions that integrate well into the existing Kroger systems. You will also provide best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will strive to continuously improve the software delivery processes & practices and be a role model to other engineers from application teams.
Soft Skills Needed -
Self-starter, good communicator, willing to take ownership
REQUIREMENTS• Experience designing, building, and deploying scalable cloud-based solution architectures• Experience working with public cloud platforms such as AWS, Azure. GCP, Experience in MLOps, CI/CD, TDD/BDD• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.• In-depth knowledge of mathematics, statistics, and algorithms.• Knowledge of containerization and container orchestration technologies.• Good understanding and/or experience writing software in one or more languages, such as Python, Java, Go, JavaScript, C++, or similar• Familiarity and good understanding of infrastructure - storage, networking etc.• Strong analytical problem-solving skills• Excellent written and verbal communication skills• Self-starter takes the initiative and works well under pressure• Business-minded approach to time, costs, and milestones• Can work well within a matrixed team environment
MINIMUM QUALIFICATION/EDUCATION• 5+ years' experience as a Data Scientist/ML Engineer.• High level of independence to develop and own toolkits, pipelines, models and dashboards.
BONUS POINTS• Microsoft Certified: Azure Data Scientist Associate (DP-100)• Experience with Azure Service Fabric, Azure Databricks, Power BI, Azure ML, Azure Synapse• Experience with combinatorial optimization• Experience with GitHub Functions• Experience with SQL Server, SSIS, ETL/ELT, NoSQL, redis, ODS• Experience working with Industry Standard Data Models such as ADRM, Common Data Model• Experience in Domain Driven Design, microservices, Event Driven and Mesh App• Experience in Retail industry
Key Responsibilities• Collaborate with solution architects, data scientists & product managers to iterate on the design & implementation of Fulfillment Services Data Strategy• Be a technical advisor and troubleshoot to resolve technical challenges with data product related infrastructure and application(s)• Design and develop machine learning and deep learning systems• Run machine learning tests and experiments• Implement appropriate ML algorithms• Transform data science prototypes and apply appropriate ML algorithms and tools• Document machine learning process• Create data pipelines for various types of streaming use cases• Focus on overall product's data quality and user experience• Build standards, processes and procedures to deliver best results• Manage individual project priorities, deadlines, and deliverables• Assist the scrum master in creating technical stories/spikes• Adapt quickly to changing technology and business requirements• Stay up to date on emerging technologies across Kroger and the industry.
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of:
Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -
Manpower, Experis, Talent Solutions, and Jefferson Wells
- creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.
Job Title: Data Scientist
Location: Hybrid from Cincinnati OH
Pay Range: $70-75/hr.
Job Description:Interviews will be onsite, and they will be working a hybrid schedule, in the office 2-3 day/week.
Job DescriptionAs an Data Scientist, you will have the opportunity to support a team of mixed-skill Engineers that have a direct and meaningful impact on the client Fulfillment Services' Platform roadmap. You will evaluate existing machine learning (ML) processes, perform statistical analysis to resolve data set problems, and improve the accuracy of our ML models. You will assist in design & implementation of cloud-native, well-architected solutions that integrate well into the existing Kroger systems. You will also provide best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will strive to continuously improve the software delivery processes & practices and be a role model to other engineers from application teams.
Soft Skills Needed -
Self-starter, good communicator, willing to take ownership
REQUIREMENTS• Experience designing, building, and deploying scalable cloud-based solution architectures• Experience working with public cloud platforms such as AWS, Azure. GCP, Experience in MLOps, CI/CD, TDD/BDD• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.• In-depth knowledge of mathematics, statistics, and algorithms.• Knowledge of containerization and container orchestration technologies.• Good understanding and/or experience writing software in one or more languages, such as Python, Java, Go, JavaScript, C++, or similar• Familiarity and good understanding of infrastructure - storage, networking etc.• Strong analytical problem-solving skills• Excellent written and verbal communication skills• Self-starter takes the initiative and works well under pressure• Business-minded approach to time, costs, and milestones• Can work well within a matrixed team environment
MINIMUM QUALIFICATION/EDUCATION• 5+ years' experience as a Data Scientist/ML Engineer.• High level of independence to develop and own toolkits, pipelines, models and dashboards.
BONUS POINTS• Microsoft Certified: Azure Data Scientist Associate (DP-100)• Experience with Azure Service Fabric, Azure Databricks, Power BI, Azure ML, Azure Synapse• Experience with combinatorial optimization• Experience with GitHub Functions• Experience with SQL Server, SSIS, ETL/ELT, NoSQL, redis, ODS• Experience working with Industry Standard Data Models such as ADRM, Common Data Model• Experience in Domain Driven Design, microservices, Event Driven and Mesh App• Experience in Retail industry
Key Responsibilities• Collaborate with solution architects, data scientists & product managers to iterate on the design & implementation of Fulfillment Services Data Strategy• Be a technical advisor and troubleshoot to resolve technical challenges with data product related infrastructure and application(s)• Design and develop machine learning and deep learning systems• Run machine learning tests and experiments• Implement appropriate ML algorithms• Transform data science prototypes and apply appropriate ML algorithms and tools• Document machine learning process• Create data pipelines for various types of streaming use cases• Focus on overall product's data quality and user experience• Build standards, processes and procedures to deliver best results• Manage individual project priorities, deadlines, and deliverables• Assist the scrum master in creating technical stories/spikes• Adapt quickly to changing technology and business requirements• Stay up to date on emerging technologies across Kroger and the industry.
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of:
Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -
Manpower, Experis, Talent Solutions, and Jefferson Wells
- creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.