Work With High Performing scikit-learn Specialists
Hire Digital matches you to the best scikit-learn specialists on demand. Our talent has to pass a rigorous screening process at Hire Digital, to work on your most important projects.
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Craig Sakuma is an experienced Data Analytics professional and has been providing corporate training about it. He has designed multiple curricula to effectively share his knowledge with clients such as Twitter, Microsoft, Intuit, Atlassian, Box, and Bloomberg. His clients also received training on prominent tools in terms of data analytics such as Python, SQL, Pandas, Scikit Learn, Tableau, Domo, Qlik, Plotly, and Matplotlib.
Experience leading the machine learning competency, which involves scoping machine learning problems and driving project adoption, deploying and managing fraud detection and NLP models in our production machine learning infrastructure on AWS, and building a new infrastructure for production machine learning using Spark and MLflow.
As a data scientist, Peter Faase has expertise in solving complicated data problems and working with Big Data to generate useful insights, intelligence, and applications. Combining his strong communication, presentation, and analytical skills, he has created data-driven solutions for organizations by designing and running complex data analyses trajectories using machine learning, predictive analyses, Artificial Intelligence (AI), and other statistical and mathematical techniques. He is skilled with tools such as Python, MySQL, SPSS, and Excel and also familiar with Agile Scrum techniques.
Hung Do
scikit-learn Specialist
Skilled data scientist specialized in math-statistics and agile software development.
Hung is a full-stack data scientist with expertise in both math statistics and agile software development. She has processed financial valuations of multi-million dollars for agricultural corporates, analyzed clinical data for major hospitals in Australia, and developed machine learning models for the EuroLeague - Europe’s premier basketball competition. She brings a wealth of international experience to her teams, having worked and studied in Singapore, France, Germany, Switzerland, and Australia. She completed her Ph.D. at UNSW Sydney with a Dean’s Award Nomination for the Top 10% of Theses.
Stephanie Mak is a highly experienced data and machine learning engineer with a strong track record of delivering data/ML projects, and enabling data-driven decision-making that aligns with business goals. She has also attained the DataBricks Certified Machine Learning Associate and DataBricks Certified Data Engineer Associate Certificates. Her latest work EnergyAustralia includes the design and delivery of DataBricks multi-workspace solutions for enterprise data lakehouse, data science laboratory, and ML engineering.
Laura Halacheva is a data scientist with experience in data modeling, statistics, and machine learning, both theoretical and applied. She has wide experience with applications in various domains, including medical data analysis, natural language processing, conversational models, and e-commerce. At Ontotext, she led the data science of the R&D department. Her clients include MobiBiz, Canadian Heritage Information Network (CHIN), and more.
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Digital offers pre-vetted remote scikit-learn specialists and other experts across 24 citiesWhat Our Clients Say
Find out why businesses worldwide choose us to power their teams.
Read our customer stories Digital makes it work every single time, and the quality of work is second to none. You can be assured that they will always deliver, regardless of what is sent to them.
Jackson Sim Cluster Director of Digital Marketing
Working with an experienced team of talent and consistent quality in output and it has saved time in the number of briefings and revisions. I think our content has improved largely due to working with Digital.
Alicia Cheng-Collette Employer Branding Marketing
Hiring talent was way faster with Digital. We could seamlessly hire marketers with the credibility we wanted in the B2D sector.
Kamal Laungani Global Developer Ecosystem Lead
Digital helped Singtel propel growth into new digital businesses by building on-demand teams with top talent specialized in our domain and channels.
Wendy Tan Marketing Director
Digital has been a great help. We were able to work with capable talent who saved us a lot of time. The Digital team ensures that we find good talent matches and they’ve been very responsive.
Bernice Tan Regional Communications
Frequently asked questions
Most teams see matched candidates within 48 hours. Our pre-vetted network means we are not starting from scratch when you reach out. If we do not have the right person available, we will tell you upfront rather than scramble.
Practitioners vet practitioners. Your growth marketer candidate gets interviewed by someone who has run growth at similar companies, not a recruiter checking keywords. We combine technical assessments, portfolio reviews, and cultural fit screening before anyone reaches your inbox.
Contract talent works on defined projects with clear deliverables. Embedded talent integrates into your team for ongoing work, attending standups and using your tools. Both can transition to full-time if the fit is right. We help you choose based on scope, timeline, and budget.
If it is not working in the first few weeks, we will find you a replacement at no additional cost. We are not in the business of defending bad matches. Most clients never need this because we invest heavily in fit upfront.
We offer flexible engagement models: hourly for short-term projects, monthly retainers for ongoing work, or placement fees for full-time hires. No hidden fees, no long-term contracts unless you want them. Your account manager will walk through options on your discovery call.
Yes. Someone who thrived at Google with dedicated QA, DevOps, and product managers may flounder when they have to wear all three hats. We look for people who have operated at your stage, pace, and level of ambiguity.
Yes, and not just the flashy demo-building part. Our Agent Operations practice includes people who have run AI agents in production and dealt with the messy reality of keeping them reliable, cost-effective, and safe.
Most marketplaces optimize for volume. They send you 10 candidates hoping one sticks. We optimize for fit. We would rather say “we do not have the right person” than waste your time. Our 95% satisfaction rate comes from being selective, not fast.
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