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Remote Mathematical Programming Jobs in California

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This is a remote position. Duties * Support production systems and help triage issues during live ...

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Remote Mathematical Programming information

What is remote mathematical programming?

Remote mathematical programming involves solving mathematical optimization problems and developing algorithms while working from a location outside of a traditional office, often from home. Professionals in this field use mathematical models and computer programming to find optimal solutions for complex problems in areas like logistics, finance, engineering, and data science. Remote work allows mathematical programmers to collaborate with teams and clients globally, utilizing tools for communication, code sharing, and project management. This setup requires strong analytical skills, proficiency in programming languages like Python or MATLAB, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote mathematical programmer?

To excel as a Remote Mathematical Programmer, you need a strong background in mathematics, optimization theory, and programming, often supported by a degree in mathematics, computer science, or engineering. Familiarity with technical tools like Python, MATLAB, R, and mathematical optimization libraries such as Gurobi or CPLEX is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills are valuable soft skills in this role. These competencies are crucial for designing efficient algorithms, collaborating across remote teams, and delivering accurate solutions to complex mathematical challenges.

What are some common challenges faced by professionals in remote mathematical programming roles, and how can they be addressed?

One of the main challenges in remote mathematical programming is effective communication, especially when collaborating on complex models with team members in different locations. Ensuring clarity in documentation and maintaining regular check-ins can help mitigate misunderstandings. Another challenge is staying updated with the latest mathematical optimization tools and software, as advancements happen rapidly; dedicating time for continuous learning can be invaluable. Additionally, remote professionals may face difficulties in accessing high-performance computing resources, so it's important to familiarize yourself with cloud-based solutions provided by your organization.

What are popular job titles related to Remote Mathematical Programming jobs in California?

For Remote Mathematical Programming jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Mathematical Programming jobs in California look for?

The top searched job categories for Remote Mathematical Programming jobs in California are:

What cities in California are hiring for Remote Mathematical Programming jobs?

Cities in California with the most Remote Mathematical Programming job openings:

Remote Mathematical Programming jobs near you

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 16 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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