Data Scientist

Hays; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a highly skilled Data Scientist for a remote role focused on enhancing algorithmic decision-making. This position involves developing and deploying machine learning models, optimizing data pipelines, and collaborating with cross-functional teams to drive data-driven innovation. The ideal candidate will possess strong expertise in Python, SQL, and modern ML frameworks, along with experience in MLOps practices. Join this forward-thinking company to make a significant impact in the field of AI and data science, while enjoying a supportive and inclusive work environment.

Benefits

Full medical benefits

Dental benefits

Vision benefits

401K

Life Insurance ($20,000 benefit)

Qualifications

• 5+ years of experience in Data Science or Machine Learning.
• Strong expertise in Python and SQL with modern ML frameworks.
• Experience with MLOps tools for model deployment.

Responsibilities

• Develop and optimize predictive models to enhance decision-making.
• Work with data engineers to design scalable data pipelines.
• Collaborate in an Agile environment to drive data-driven innovation.

Skills

Python

SQL

Machine Learning

MLOps

Deep Learning

Data Visualization

Agile Development

Education

Bachelor's degree in Computer Science

Master's degree in Mathematics

Tools

TensorFlow

PyTorch

Scikit-Learn

MLflow

Kubeflow

Airflow

GCP

AWS

Job description

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking a Data Scientist for a remote opportunity.

Role Description

Our client is seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at scale within Group Digital. This role will focus on developing and deploying machine learning models, neural networks, support MLOps practices, to enhance personalization, and automation within our digital products.
You will work closely with data engineers, product teams, and business stakeholders to build scalable data pipelines, CI/CD workflows, and ETL processes. The ideal candidate will have experience in retail, personalization web technologies, and cutting-edge AI methods, including Large Language Models (LLMs), Generative AI, and Knowledge Graphs.

Machine Learning & AI Development
•Develop and optimize predictive and prescriptive models to extract insights and enhance decision-making. Knowledgeable in supervised and unsupervised learning. Apply deep learning and neural network techniques for customer classification and profiling, customer segmentation and personalization.
•Utilize MLOps to efficiently deploy, monitor, and maintain ML models in production.
•Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
•Explore and integrate knowledge graphs to enhance data relationships and improve AI-driven recommendations.
Data Engineering & Pipelines
•Work with data engineers to design and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred).
•Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently. Implement CI/CD workflows to automate model training, deployment, and monitoring.
Collaboration & Agile Development
•Work in an Agile/DevOps environment, collaborating with cross-functional teams to drive data-driven innovation.
•Promote a data-centric culture by educating teams on the strategic importance of AI and analytics.
•Clearly communicate complex methodologies, results, and business insights to both technical and non-technical audiences.

Skills & Requirements

•5+ years of experience in Data Science, Machine Learning, or related fields.
•Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
•Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
•Proficiency in cloud platforms (AWS/GCP) and scalable data engineering.
•Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
•Experience with collaborative software engineering practices (Agile, DevOps).
•Bachelor's or Master’s degree in Computer Science, Mathematics, Engineering, or related field.

•Experience with Knowledge Graphs and their integration into AI/ML pipelines.
•Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
•Background in Retail and Personalization Web Technologies.
•Understanding of IKEA’s digital ecosystem and data-driven decision-making.
•Proficiency in business intelligence (BI) tools and data visualization.
•Retail industry experience, specifically Production of Consumer Goods

Benefits/Other Compensation

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.

Drug testing may be required; please contact a recruiter for more information.

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#1171667 - Olivia Dyroff