Hire remote data scientists near Los Angeles or in a similar time zone
Derek Owens-Oas
Derek has a PhD in statistical science from Duke and has worked as a data scientist and software developer at Xylem. He's the founder of Tech Smart Magic. Published in the Journal of Classification and a TA of the year, he's an expert in research and teaching. He provides interactive apps, visualizations, and reports. Derek's Python and R programming, top AI and ML methods, and ability to communicate make him an asset to any company. His specialties include text data and online social networks.
Show MoreMikhail Fishzon
Mikhail is an alumnus of Google and Lyft and a data engineer who enjoys turning real-life business problems into scalable data platforms. Over the last two decades, he has helped companies architect, build, and maintain performance-optimized databases and data pipelines. Mikhail is knowledgeable in database optimization techniques and has achieved a 99% increase in slow-running query performance.
Show MoreJohn Nnamchi
John is an experienced developer specializing in data visualization platforms and high-frequency-low-latency data processing systems. His pedigree includes building analytics dashboards at Microsoft, developing a real-time ad exchange platform that processes 5+ billion auctions a day at Index Exchange, and contracting independent projects for corporations. Since 2021, John has been at Bloomberg, developing BQuant, Bloomberg's data visualization and quantitative investment workflow platform.
Show MoreRoxana Ibanez
Roxana has more than ten years of experience advising and assisting companies and clients in the area of data warehousing, business intelligence, data governance, and digital transformation. She understands the benefits of good communication as well as good clean code and how a well-projected architecture helps productivity and maintainability in the long term. Roxana's extensive experience in the data domain has been proven to help leverage applied analytics to manage complex problems.
Show MoreHoria Mărgărit
Horia's industry experience extends across digital health, consumer finance, internet search, engineering software, and transportation logistics. He has over 10 years of expertise applying AI methods and approaches to tackle businesses problems. Horia's predictions for business applications of AI have been featured in CIO magazine and Forbes. He earned a master of science degree in statistics at Stanford University and two BAs specializing in cognitive and computer science at UC Berkeley.
Show MoreGeorge McIntire
George is a results-driven data scientist who brings a diverse skill set and rich experience to the table. His expertise lies in data translation and a versatile toolkit, including Python, SQL, and machine learning. George excels at distilling complex findings into actionable and comprehensible insights, making data accessible and impactful for stakeholders.
Show MoreJana Dodson
In her more than eight years of experience, Jana has worked at both small and large companies and has been through many stages of growth. She has also collaborated with people across the tech industry, including executives, designers, product managers, engineers, business leaders, and marketers. Jana's job is to take loosely defined problems, design robust solutions, and find the quickest path to implementation while ensuring the solution is never a "black box" for the client.
Show MoreRobby Goetschalckx
Robby is a machine learning expert with 10+ years of experience in research and back-end software development for machine learning solutions. With master's degrees in computer science and artificial intelligence in addition to his Ph.D. in computer science, Robby is well equipped to provide solutions to a variety of issues in companies of all sizes.
Show MoreAllen Gary Grimm
Fascinated by the intersection of abstraction and reality, Allen found his calling in data science. Formally trained in machine learning plus a breadth of experience in applying ML as prototypes up through production, his specialty is in finding and implementing tractable solutions to complex data modeling problems: e.g., user behavior prediction, recommender systems, NLP, spam filters, deduplication, or feature engineering.
Show MoreSalman Ahmed
Salman is a senior deep learning engineer with over half a decade of experience designing and implementing ML/DL pipelines. Salman has worked with top Fortune companies, like Google, CVS Health, Toyota, and Cisco, over the last couple of years. Salman has won three international grand challenges sponsored by AWS and published multiple research papers in top journals and conferences.
Show MoreStanford Pugsley
Stanford is an accomplished data warehouse ETL engineer, consultant, and data architect with nearly 20 years of experience building highly scalable data solutions in the cloud and on-premises. He excels in leading client and internal teams through the adoption of business intelligence, integration, data strategy, and data governance programs using agile development methodologies. Stanford shares his knowledge as an adjunct instructor in the University of Utah Information Systems program.
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