Data Scientist

2 weeks ago

cincinnati, United States Golden Technology Full time

Are you a dedicated Data Scientist eager to make a significant impact? Our client is seeking a talented individual to join their dynamic team. Ready to be part of an amazing culture? Apply today

If you specialize in Data Scient, ML, and AI, we’d love to hear from you

About Golden Technology

Golden Technology was founded in 1997 with a vision to develop people and drive innovation. We pair world-class technologists with companies doing impactful work. With our unique recruiting engine, we deliver top-tier talent to Fortune 500 clients across the US. Our culture is built around family, helping people succeed both professionally and personally, and improving the communities we work, live, and play in through our Golden Community initiatives.

Job Description

As 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 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 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.

You will join an innovative, distributed Software Delivery team within the US's largest grocery retailer with a scale that reaches millions of people every day. Our teams are truly agile and empowered to own all aspects of their domain comprehensively. We encourage a culture of quality software practices and respect for the human spirit. We are committed to being an inclusive and transparent culture cultivating the best engineers, allowing them to define our Technology platforms' future. If this inspires you, apply and talk to our team

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 and the industry

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