Hire remote data scientists near Denver or in a similar time zone
Peter Daniels
Peter is a seasoned data platform expert specializing in the Microsoft stack, including Azure. With skills ranging from data architecture and engineering to database administration and development, his 29 years of experience, multiple certifications, and passion for learning set him apart in addressing clients' diverse data requirements. Most recently, Peter helped a growing company migrate their on-premise data and AI estate into Azure as part of an ERP migration to Microsoft Dynamics 365.
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Mikhail 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.
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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.
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Michael McKervey
Michael is widely experienced in mechanical engineering, manufacturing, project management, and interdisciplinary collaboration. He drives success by both meticulously updating the bill of materials (BOM) and orchestrating complex product launches. Adept in product development and operations, Michael showcases his expertise by effectively liaising with quality, electrical, software, supply chain, sales, and management divisions, ensuring seamless execution and organizational success.
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Laura Michela
Laura is a data-driven strategist with expertise in turning data into actionable insights. Laura fell in love with Tableau 7.0 in her MBA business analytics program and never looked back. Now, she is a Tableau certified professional and spends her days telling stories with data to influence business decisions.
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Roxana Ibanez
Roxana has more than 10 years of experience advising and assisting companies and clients in data warehousing, business intelligence, data governance, and digital transformation. She understands the benefits of good communication and 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.
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Benjamin Li
Benjamin has over two decades of software and big data development experience, including data modeling and data warehouse design. His active toolset includes Spark, Python, Scala, AWS, Azure, SQL, Hive, Linux, Microsoft BI solutions, C#.NET, and Java. His orientation to detail and strong analytical and problem-solving skills make him an excellent addition to any team. A kind and intentional communicator, Benjamin always produces high-quality work.
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Davis Wei
Davis is a seasoned engineer with a decade of experience in data engineering and analysis. He had led several data projects involving the transformation of on-premises databases to cloud-based data lakes using AWS and Azure. He has a wealth of experience designing and developing data visualizations to present complex data models to stakeholders at all levels. He holds an MBA and has experience with data mining and machine learning.
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John 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.
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Henrik Sergoyan
Henrik is a data scientist with over eight years of experience specializing in natural language processing, focusing on GenAI and retrieval-augmented generation (RAG) solutions. He excels in building end-to-end data solutions, including data collection, processing, analytics, reporting, and deployment. Proficient in SQL and NoSQL databases, Henrik combines strong project management skills with innovative problem-solving to deliver exceptional results.
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Joseph Miano
Joseph is a data scientist with 3+ years of experience in computer vision, NLP, and tabular datasets. He's worked on analytics for large-scale medication adherence outreach programs, multi-task neural networks for brain microscopy image segmentation, and NLP models to detect COVID-19 outbreaks from news articles. He's also familiar with model explainability for credit risk assessment and fraud detection models. Joseph holds an MS in Computer Science with a specialization in machine learning.
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