This is your chance to make a huge impact in a Fintech startup.
This Jobot Job is hosted by Brandon Bays.
Salary  $180,000 - $240,000 per year
A Bit About Us  We are seeking a Senior Financial Data Scientist to join our Fintech startup in San Francisco. This unique role combines data science, financial modeling, data engineering, LLM application, and institutional sales support. You will lead data-driven projects from concept to execution while collaborating with sales teams to explain and deliver data models to high-profile clients. You’ll work closely with data pipeline engineers and the CTO to design data ingestion and QA systems that power our innovative data products.
Responsibilities for this role   Develop Pricing Models: Design and enhance pricing models for illiquid assets, including tools that predict daily prices for actively-traded private companies.
Feature Engineering: Identify and integrate new features and signals to improve ML model accuracy and performance.
Data Engineering: Build and maintain robust data pipelines to collect, parse, and store data used in ML workflows and displayed on our data platform.
LLM Integration: Implement LLMs to automate data ingestion processes and introduce advanced features on our platform.
Sales Collaboration: Support the institutional sales team by explaining data models, methodologies, and product offerings to high-level financial clients.
Client Data Analysis: Fulfill client requests for data analysis and outputs with fast turnaround times.
Pipeline Optimization: Enhance data pipeline efficiency and QA processes to improve scalability and minimize manual review.
Why join us?   Competitive compensation - $180-240k base salary
Equity in the company
Work at ground level of a startup
Local collaboration in downtown San Francisco
Qualifications   Must be based in the SF Bay Area and able to work in-person in San Francisco at least 3 days per week.
At least 6 years of professional experience in data engineering, data science, or financial quant roles, with strong proficiency in Python, R, Postgres, and LangChain. Experience with Typescript, NodeJS, and Google Firebase is a plus.
Minimum of 2 years of experience developing ML models from scratch using Bayesian modeling, LLMs, and linear regression techniques.
High level of accountability and dependability, especially when delivering client-facing outputs under tight deadlines.
Exceptional strategic thinking and attention to detail, with the ability to contribute to high-level data strategy while managing granular QA tasks.
Strong leadership and communication skills, capable of conveying complex technical concepts to non-technical stakeholders and clients.
Positive, curious, and passionate about leveraging data to innovate in the fintech space.

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This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range  $180,000.00/yr - $240,000.00/yr
Job details
This is your chance to make a huge impact in a Fintech startup.  This Jobot Job is hosted by Brandon Bays.
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $180,000 - $240,000 per year
A Bit About Us  We are seeking a Senior Financial Data Scientist to join our Fintech startup in San Francisco. This unique role combines data science, financial modeling, data engineering, LLM application, and institutional sales support. You will lead data-driven projects from concept to execution while collaborating with sales teams to explain and deliver data models to high-profile clients. You’ll work closely with data pipeline engineers and the CTO to design data ingestion and QA systems that power our innovative data products.
Responsibilities for this role   Develop Pricing Models: Design and enhance pricing models for illiquid assets, including tools that predict daily prices for actively-traded private companies.
Feature Engineering: Identify and integrate new features and signals to improve ML model accuracy and performance.
Data Engineering: Build and maintain robust data pipelines to collect, parse, and store data used in ML workflows and displayed on our data platform.
LLM Integration: Implement LLMs to automate data ingestion processes and introduce advanced features on our platform.
Sales Collaboration: Support the institutional sales team by explaining data models, methodologies, and product offerings to high-level financial clients.
Client Data Analysis: Fulfill client requests for data analysis and outputs with fast turnaround times.
Pipeline Optimization: Enhance data pipeline efficiency and QA processes to improve scalability and minimize manual review.
Why join us?   Competitive compensation - $180-240k base salary
Equity in the company
Work at ground level of a startup
Local collaboration in downtown San Francisco
Qualifications   Must be based in the SF Bay Area and able to work in-person in San Francisco at least 3 days per week.
At least 6 years of professional experience in data engineering, data science, or financial quant roles, with strong proficiency in Python, R, Postgres, and LangChain. Experience with Typescript, NodeJS, and Google Firebase is a plus.
Minimum of 2 years of experience developing ML models from scratch using Bayesian modeling, LLMs, and linear regression techniques.
High level of accountability and dependability, especially when delivering client-facing outputs under tight deadlines.
Exceptional strategic thinking and attention to detail, with the ability to contribute to high-level data strategy while managing granular QA tasks.
Strong leadership and communication skills, capable of conveying complex technical concepts to non-technical stakeholders and clients.
Positive, curious, and passionate about leveraging data to innovate in the fintech space.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Seniority level  Not Applicable
Employment type  Full-time
Job function  Engineering and Information Technology
Industries  Construction, Civil Engineering, and Industrial Machinery Manufacturing

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<p>This Jobot Job is hosted by: Amber Wood Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $120,000 - $170,000 per year A bit about us: An infrastructure design firm founded over 100 years ago. Why join us? Competitive compensation ESOP Growth opportunities Collaborative culture Full benefits Job Details In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of Artificial Intelligence. Our clients deal with massive amounts of structured and unstructured data which opens up new opportunities for you to apply your communication skills, interpersonal skills, and analytical skills to respond to complex questions and needs by guiding internal teams and client teams in how to use AI to solve problems. You will evaluate, understand, implement, and fine-tune AI models to meet our clients' needs. You will collaborate with data scientists to use AI to innovatively solve problems and your communication skills will enable you to explain AI solutions to wide-ranging audiences. You will explore data from various sources, discover patterns and previously hidden insights to address business problems, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. What You'll Do: Provides insight into leading analytics practices. Designs and leads iterative learning and development cycles. Produces new and creative analytic solutions that will become core work you’re doing. Develops proficiency with data mining, cleaning, aggregation techniques. Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mines and analyzes large datasets, draw insights from data using statistical techniques. Develops custom data models and algorithms to apply to data sets. Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develops company A/B testing framework and test model quality. Coordinates with different functional teams to implement models and monitor outcomes. Performs other duties as assigned. What You'll Need: Bachelor’s degree in data science, statistics, computer science, computer engineering, or information systems and 6 years of relevant experience, or Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or In lieu of education, 10 years of relevant experience. What You'll Bring: Exceptional communication and interpersonal skills Experience with programming languages such as Python, R or SQL. Experience with big data technologies such as Hadoop or Spark Experience with distributed computing tools such as Map/Reduce or Spark. Experience visualizing/presenting data for stakeholders using: Power BI, Tableau or similar tools Experience in successfullyn implementing generative AI (GenAI) and large language model (LLM) solutions An openness to new ideas and perspectives Passion for solving hard problems with data Genuine curiosity and an interest in learning and applying new skills and technologies What We Prefer: Master’s degree in data science, statistics, computer science, computer engineering, or information systems Transportation industry experience Consulting experience Interested in hearing more? Easy Apply now by clicking the "Apply" button.</p>

This Jobot Job is hosted by: Amber Wood
Are you a fit? Easy Apply now by clicking the "Apply" button
and sending us your resume.
Salary: $120,000 - $170,000 per year

A bit about us:

An infrastructure design firm founded over 100 years ago.

Why join us?
Competitive compensation
ESOP
Growth opportunities
Collaborative culture
Full benefits

Job Details

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of Artificial Intelligence. Our clients deal with massive amounts of structured and unstructured data which opens up new opportunities for you to apply your communication skills, interpersonal skills, and analytical skills to respond to complex questions and needs by guiding internal teams and client teams in how to use AI to solve problems. You will evaluate, understand, implement, and fine-tune AI models to meet our clients' needs. You will collaborate with data scientists to use AI to innovatively solve problems and your communication skills will enable you to explain AI solutions to wide-ranging audiences. You will explore data from various sources, discover patterns and previously hidden insights to address business problems, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.

What You'll Do:

Provides insight into leading analytics practices.

Designs and leads iterative learning and development cycles.

Produces new and creative analytic solutions that will become core work you’re doing.

Develops proficiency with data mining, cleaning, aggregation techniques.

Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Mines and analyzes large datasets, draw insights from data using statistical techniques.

Develops custom data models and algorithms to apply to data sets.

Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Develops company A/B testing framework and test model quality.

Coordinates with different functional teams to implement models and monitor outcomes.

Performs other duties as assigned.

What You'll Need:

Bachelor’s degree in data science, statistics, computer science, computer engineering, or information systems and 6 years of relevant experience, or

Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or

In lieu of education, 10 years of relevant experience.

What You'll Bring:

Exceptional communication and interpersonal skills

Experience with programming languages such as Python, R or SQL.

Experience with big data technologies such as Hadoop or Spark

Experience with distributed computing tools such as Map/Reduce or Spark.

Experience visualizing/presenting data for stakeholders using: Power BI, Tableau or similar tools

Experience in successfullyn implementing generative AI (GenAI) and large language model (LLM) solutions

An openness to new ideas and perspectives

Passion for solving hard problems with data

Genuine curiosity and an interest in learning and applying new skills and technologies

What We Prefer:

Master’s degree in data science, statistics, computer science, computer engineering, or information systems

Transportation industry experience

Consulting experience

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

Senior Data Scientist – Remote Consultant  This range is provided by Jobot Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range  $74.00/hr - $85.00/hr
Job details
This Jobot Consulting Job is hosted by Ashley Elm.
Salary $74 - $85 per hour
A Bit About Us  West coast based healthcare system is looking to add a remote Sr. Data Scientist consultant to their team. Apply today to learn more about this 12+ month consulting role opportunity.
To be considered, candidates must reside in PST, MTN, or CST time zones.
Why join us?  Remote consulting role! Long term contracts with options to extend.
Job Requirements   Creative machine learning and statistical analyses are required.
Experience in design, develop, and implementation of artificial intelligence algorithms, and have built scalable production systems focused on clinical and health care research outcomes.
Bachelor’s Degree in computer science, artificial intelligence, informatics or closely related field, Masters preferred.
Job Description   The Data Scientist will derive insights from the vast amounts of patient and environmental data available within our data warehouse.
The incumbent will work closely with researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.
The incumbent will develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses.
Analyses will address a wide variety of clinical and research outcomes.
The incumbent will research and implement state-of-the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.
The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams.
Develop, test, and install new software applications, and enhance functionality of existing applications, for artificial intelligence and machine learning.
Design, develop, and implement artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes.
Identify creative uses of artificial intelligence and potential artificial intelligence innovations in health care research.
Collaborate with a team of programmers and informatics experts to address emerging client needs.
Collect and manage new datasets with bearing on artificial intelligence analyses of healthcare data.
Create new experimental frameworks to collect data, build tools to automate data collection.
Correlate similar data to find actionable results and search through large data sets for usable information.
Create reports and presentations on analysis results.
Remain current on trends in informatics, machine learning, and artificial intelligence for healthcare.
Other duties as assigned.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Seniority level  Not Applicable
Employment type  Contract
Job function  Engineering and Information Technology
Industries  Software Development, Technology, Information and Internet, and Technology, Information and Media

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Get AI-powered advice on this job and more exclusive features.
This range is provided by Jobot Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range  $75.00/hr - $85.00/hr
Job details:
The incumbent will research and implement state-of-the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.  This Jobot Consulting Job is hosted by Brett Walker.
Salary: $75 - $85 per hour
A Bit About Us:  A leading healthcare system on the west coast. Apply today to learn more about this 12+ month consulting role opportunity.
Must be PST, MTN, or CST time zones for this opening to be considered.
Why join us?  Remote consulting role!
W2 or C2C pay rate options!
Long term contracts with options to extend.
Job Details  Requirements   Bachelor’s Degree in computer science, artificial intelligence, informatics or closely related field
Masters preferred
Job Description   The Data Scientist will derive insights from the vast amounts of patient and environmental data available within our data warehouse. To achieve this goal, novel and creative machine learning and statistical analyses are needed.
The incumbent will work closely with client researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.
The incumbent will develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses.
Analyses will address a wide variety of clinical and research outcomes.
The incumbent will research and implement state-of-the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.
The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams.
Develop, test, and install new software applications, and enhance the functionality of existing applications, for artificial intelligence and machine learning.
Design, develop, and implement artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes.
Identify creative uses of artificial intelligence and potential artificial intelligence innovations in health care research.
Collaborate with a team of programmers and informatics experts to address emerging client needs.
Collect and manage new datasets with bearing on artificial intelligence analyses of healthcare data.
Create new experimental frameworks to collect data, build tools to automate data collection.
Correlate similar data to find actionable results and search through large data sets for usable information.
Create reports and presentations on analysis results.
Remain current on trends in informatics, machine learning, and artificial intelligence for healthcare.
Other duties as assigned.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Seniority level   Not Applicable
Employment type   Contract
Job function   Engineering and Information Technology
Industries: Hospitals and Health Care, Medical Practices, and Mental Health Care

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