United States, Remote
November 1, 2023
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TEMP REMOTE DATA SCIENTIST AT TAX-ACCTNG SOFTWARE FINTECH FIRM
Hourly Pay Rate is $74.00 to $79.00 (based upon experience, and candidate)
Incredible Organization with Equally Wonderful People
Cutting-edge, tax/accounting software focused FinTech firm is looking for an experienced Data Scientist to join its Team on a Temporary to Possible Permanent Basis. Currently the assignment is set for Six (6) Months.
Fully Remote, Full-time role based anywhere on Mainland USA. MUST be able to work standard” East Coast Hours as/if needed.
DESCRIPTION
We are looking for a Data Scientist to join our Emerging Technology Group to be part of our AI and data insight journey. Additionally, this person will help drive the technological exploration of AI related technologies/solutions to address current and future business opportunities.
This person must have strong experience with prompt engineering, using a variety of data mining/ analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
TOP SKILLS/EXPERIENCE
Hourly Pay Rate is $74.00 to $79.00 (based upon experience, and candidate)
Incredible Organization with Equally Wonderful People
Cutting-edge, tax/accounting software focused FinTech firm is looking for an experienced Data Scientist to join its Team on a Temporary to Possible Permanent Basis. Currently the assignment is set for Six (6) Months.
Fully Remote, Full-time role based anywhere on Mainland USA. MUST be able to work standard” East Coast Hours as/if needed.
DESCRIPTION
We are looking for a Data Scientist to join our Emerging Technology Group to be part of our AI and data insight journey. Additionally, this person will help drive the technological exploration of AI related technologies/solutions to address current and future business opportunities.
This person must have strong experience with prompt engineering, using a variety of data mining/ analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
TOP SKILLS/EXPERIENCE
- Proven AI/LLM experience (development, tuning, maintenance)
- Prompt engineering
- MLOPS
- Master's Degree (MS) in computer science or equivalent experience is required
- Two to Five (2-5) years of data science experience using machine learning
- Experience in data monetization projects
- Experience in economic and/or regulated business domains preferred
- Experience in solving complex real-world problems (focus on economics, and regulatory industries) using advanced analytics, statistical analysis, machine learning, and algorithms that drive value realization
- Self-motivated/Creative/Innovative
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- Drive to learn and master new technologies and techniques
- Strong understanding of AI/Client cloud services and infrastructure, including how to leverage them and experience with SaaS infrastructure technologies (AWS/Azure preferred)
- Able to quickly assimilate, organize, analyze, abstract, and synthesize large amounts of information and to make decisions based on this analysis
- Excellent written and verbal communication skills
- Able to present and explain technical concepts to non-technical audiences
- Comfortable working in a dynamically and changing environment
- Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions
- Interact and expand capacities of LLMs.
- Develop custom data models and algorithms to apply to data sets.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze company and external datasets to drive predictions and actions.
- Assess the effectiveness and accuracy of new data sources and execute data wrangling techniques.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- No expectations of supervisory responsibility to begin with; however, this role will have multiple leadership opportunities over time, as such, candidates must be able to mentor and teach.