Senior Data Scientist (Hybrid)

TM Floyd & Company
Richmond
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Engineer

Data Engineer

Data Science Consultant

We're hiring a Senior Data Scientist to join our team in Richmond, VA. This position offers a hybrid schedule, with one week onsite followed by one week working remotely.


Skills & Qualifications:

  • 5 years of experience in data science using R/Pythonon Hadoop platform
  • Strong skills in statistical application prototyping with expert knowledge in R and/or Python development
  • Experience with:

    • MLOps, Low/No code platforms like Dataiku, Snowflake, SQL, Cloud
    • Automated testing, versioning, and deployment workflows (e.g., MLflow, Dataiku, or similar)
    • Monitoring ML models, including model drift detection, performance tracking, reproducibility, and scalable production architecture
    • Developing reports and apps with tools like RShiny to allow stakeholders to interact with data
    • Predictive modeling and machine learning


  • Understanding and/or experience with data engineering is a plus
  • Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus
  • Understanding and experience working on Big Data Ecosystems is preferred

Key Responsibilities:

  • Design machine learning projects to address business problems determined by consultation with business partners
  • Create interpretable visualizations that tell a story and paint a vision
  • Work on a variety of datasets, including both structured and unstructured data
  • Use deep knowledge of machine learning, data mining, statistical predictive modeling, and extensive experience applying these methods to real world problems

Education:

  • High school diploma or equivalency; Bachelor's degree preferred

The hourly rate for this position is $86.92.


TM Floyd & Company is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.


We offer a generous array of benefits, depending on the length of assignment. We also offer a referral bonus of up to $1,000. Ask us for more details!


TM Floyd & Company participates in E-VERIFY.
AAP, EEO


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.