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Alternative Data Jobs in California (NOW HIRING)

Samba

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

... alternatives * Hands‑on experience with Causal ML methods -- counterfactual modeling ... Direct exposure to TV or digital viewership data -- ACR signals, STB data, viewership panels, or ...

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

... data-driven alternatives * Hands-on experience with Causal ML methods - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - applied to advertising or media ...

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

... data-driven alternatives * Hands-on experience with Causal ML methods -- counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation -- applied to advertising or media ...

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

... data-driven alternatives * Hands-on experience with Causal ML methods - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - applied to advertising or media ...

GSK Solutions Inc.

Senior Data Architect

Burbank, CA · On-site

$72 - $96.25/hr

Job Title Senior Data Architect (Hybrid Onsite) Location Burbank, CA Duration 6 Months+ Interview ... Advise on alternative and out-of-the-box solutions. * Provide thought leadership and hands-on ...

Goodwill

Data Analyst - IT

Santa Ana, CA · On-site

$93.60 - $127.46/hr

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process. Data Analyst - IT Full Time Professional ...

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Alternative Data information

What is an alternative data?

An Alternative Data job involves collecting, analyzing, and interpreting non-traditional data sources—such as satellite imagery, web traffic, or transaction data—to generate insights for financial, investment, or business decisions. Professionals in this field work with data engineering, machine learning, and statistical analysis to derive actionable intelligence. These roles are common in hedge funds, private equity firms, and large corporations looking for a competitive edge through unconventional data sources. Skills required typically include programming (Python, SQL), data wrangling, and domain expertise in finance or technology.

What types of projects or data sources do professionals in alternative data roles typically work with?

Professionals in Alternative Data roles often engage with non-traditional datasets such as satellite imagery, social media trends, credit card transaction records, web scraping data, and sensor or geolocation information to uncover actionable insights. Projects may involve evaluating consumer behavior, forecasting economic activity, or identifying trends that standard financial data might miss. The work frequently requires collaborating with data engineers, analysts, and business strategists to source, clean, and interpret large, unstructured datasets. If you enjoy tackling complex data-driven problems and uncovering new patterns to gain a competitive edge, this is a highly dynamic and impactful role.

What are the key skills and qualifications needed to thrive in the alternative data position, and why are they important?

To thrive in an Alternative Data role, you need strong analytical skills, experience with data collection and processing, and a background in quantitative disciplines such as finance, statistics, or computer science. Proficiency in programming languages like Python or R, familiarity with data visualization tools, and experience working with big data platforms are essential, with certifications in data analysis or finance being advantageous. Excellent communication, problem-solving abilities, and intellectual curiosity help professionals excel at explaining complex findings and creating actionable insights for stakeholders. These combined abilities are vital for extracting value from unconventional datasets and driving informed business decisions.

What are popular job titles related to Alternative Data jobs in California?

For Alternative Data jobs in California, the most frequently searched job titles are:

What job categories do people searching Alternative Data jobs in California look for?

The top searched job categories for Alternative Data jobs in California are:

What cities in California are hiring for Alternative Data jobs?

Cities in California with the most Alternative Data job openings:

Alternative Data jobs near you
Infographic showing various Alternative Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Center Location Strategy Analyst

Meta

San Francisco, CA

$154K/yr

Full-time

Posted 10 days ago

Key responsibilities

  • Develop and maintain location strategy frameworks and analyses to evaluate potential data center sites.

  • Translate capacity demand forecasts into geographic supply requirements and identify regional gaps.

  • Build models and scenario analyses to compare location options and support capital allocation decisions.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta's Global Strategy & Development team is seeking a Data Center Location Strategy Analyst to support the long-term capacity planning and site selection strategy that underpins Meta's global data center portfolio. In this role, you will develop scenario analyses and optionality models to evaluate optimal locations for new data center capacities, directly informing multi-billion dollar capital investment decisions. You will partner with teams across site development, energy, network, finance, and construction to develop location frameworks that balance capacity demand forecasts with supply-side constraints, ensuring Meta's infrastructure footprint scales reliably to support capacity enablement for billions of users worldwide.
Data Center Location Strategy Analyst Responsibilities:
  • Develop and maintain location strategy frameworks and analyses that evaluate potential data center sites across dimensions including power availability, land cost, network connectivity, permitting risk, climate exposure, and labor market depth
  • Translate long-range capacity demand forecasts into geographic supply requirements, identifying regional gaps and prioritizing site development pipelines to close projected shortfalls
  • Build quantitative models, scenario analyses, and optionality strategies to compare location alternatives across cost, risk, schedule, and strategic fit dimensions, supporting executive-level capital allocation decisions
  • Synthesize market intelligence on power grid infrastructure, utility interconnection timelines, renewable energy availability, and regulatory environments across target geographies
  • Collaborate with real estate, energy, network, and cross-functional teams to assess site-specific feasibility constraints and incorporate findings into portfolio-level location recommendations
  • Develop and maintain dashboards and reporting tools that track the health of the site development pipeline, including capacity milestones, risk flags, and decision gate status
  • Conduct portfolio health reviews and partner with finance and capacity planning teams to align location strategy outputs with financial models, total cost of ownership analyses, and long-range infrastructure investment plans
  • Identify emerging markets and geographies that meet Meta's data center siting criteria, conducting proactive market assessments to expand the portfolio of viable future locations
  • Communicate location strategy recommendations and supporting analyses to cross-functional stakeholders and leadership through structured written deliverables and presentations

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor's degree or equivalent practical experience
  • 6+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, energy market analysis, or a closely related field
  • Experience building quantitative models to evaluate and compare infrastructure investment alternatives, including scenario analysis and sensitivity modeling
  • Experience synthesizing complex, multi-variable datasets spanning geographic, energy, regulatory, and financial dimensions to produce actionable strategic recommendations
  • Experience collaborating cross-functionally with real estate, energy, finance, or network teams to drive alignment on infrastructure planning decisions
  • Ability to source and utilize data, including data visualization, to communicate analytical findings and strategic recommendations to technical and non-technical stakeholders

Preferred Qualifications:
  • Data center industry experience with a focus on capacity delivery and scaling
  • Experience integrating AI or automation tools into planning or analytical workflows to improve modeling efficiency, scenario coverage, or reporting accuracy
  • Experience applying geospatial analysis tools or GIS platforms to infrastructure siting and market assessment workflows
  • Familiarity with hyperscale data center design typologies, construction timelines, and the key site characteristics that drive development feasibility and cost
  • Experience with power systems, utility interconnection processes, or renewable energy procurement as applied to large-scale data center or industrial facility development
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Location strategy and modeling experience across multiple geographies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,000/year to $200,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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