Data Scientist

Description:

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!

This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $57 - $67 / hr. w2

* 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

* 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.