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Remote Python Data Analysis Jobs in Thousand Oaks, CA

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · On-site +1

$71.50 - $92/hr

We use predictive analytics to identify health plan members with unaddressed behavioral health ... Familiar with Python scripting language * Experience with data warehouse implementations * Data ...

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

We use predictive analytics to identify health plan members with unaddressed behavioral health ... Familiar with Python scripting language * Experience with data warehouse implementations * Data ...

Rula

Sr. Analytics Engineer (Remote)

Los Angeles, CA · Remote

$112K - $154K/yr

Data Modeling & Architecture: Design, build, and optimize modular dbt pipelines and performant ... Basic Python proficiency providing an extra layer of technical agility when collaborating on ...

Fox

Data Warehousing Specialist

Los Angeles, CA · On-site +1

$183K - $202K/yr

... data analysis required to troubleshoot data related issues and assist in the resolution of data ... Python and PySpark; and building Lakehouse or batch/streaming data pipelines in Databricks.

Clarvida

Business Operations Analyst

Los Angeles, CA · On-site +1

$85K - $100K/yr

... data analysis and business intelligence findings · Conduct ad hoc reporting and analysis to ... Remote from home with hybrid opportunities as needed Occasional travel may be required to support ...

Sunbit

Analytics Manager, Credit Cards

Los Angeles, CA · Remote

Remote Reports To: Head of Business Analytics The Company: Sunbit builds financial technology ... Perform ad-hoc analysis ranging from open exploration data analysis to specific root cause analysis.

Sunbit

Analytics Manager, Credit Cards

Los Angeles, CA · On-site +1

Remote Reports To: Head of Business Analytics The Company: Sunbit builds financial technology for ... Perform ad-hoc analysis ranging from open exploration data analysis to specific root cause analysis.

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing a ...

Everlane

Director, FP&A

Los Angeles, CA · On-site +1

$128K - $171K/yr

... data analysis and business understanding * Go deep with ad hoc analysis to generate business ... Candidates outside the LA area may be considered for a remote position. California Residents: At ...

Tubi

Data Scientist, Growth Analytics

Los Angeles, CA · On-site +1

Strong programming experience in Python for statistical modeling, automation, experimentation, AI ... repetitive analysis, accelerate decision-making, or improve business operations. * Proven ...

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As of Aug 11, 2026, the average hourly pay for remote python data analysis in Thousand Oaks, CA is $61.61, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $70.00 per hour, depending on experience, location, and employer.
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Real Estate Data Scientist - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$98K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

The Real Estate Data Scientist is responsible for developing advanced analytical models and data-driven tools that support strategic real estate decisions across the organization. This role partners closely with Real Estate, Finance, Marketing, and Supply Chain teams to deliver predictive insights related to site selection, network optimization, sales forecasting, and market planning. This role incorporates advanced spatial modeling, geostatistics, and geospatial data engineering to evaluate trade areas, quantify market potential, and optimize network performance.
This position combines strong statistical modeling, data engineering, and business acumen to translate complex data into actionable recommendations. The Real Estate Data Scientist plays a critical role in advancing the organization's use of machine learning, automation, and predictive analytics to improve decision quality and scalability. This is a senior individual contributor role with no direct people management responsibility.
Duties and Responsibilities
  • Advanced Analytics & Predictive Modeling
    • Develop and deploy predictive models for site selection, sales forecasting, cannibalization, and market potential.
    • Build and maintain machine learning models using regression, classification, clustering, optimization, and spatial modeling techniques.
    • Apply spatial statistical methods (e.g., spatial regression, geographically weighted regression, spatial autocorrelation) to capture geographic variation in demand drivers.
    • Develop trade area and customer draw models (e.g., Huff/gravity models) to estimate market share and competitive impact.
    • Incorporate spatial features such as proximity, co-tenancy, demographics, traffic patterns, and nearby store performance into predictive models.
    • Design methodologies for forecasting store performance under various scenarios, including spatial and competitive effects.
    • Continuously monitor and improve model performance and accuracy. 
  • Data Engineering & Automation
    • Design scalable data pipelines integrating real estate, customer, demographic, sales, and geospatial datasets (parcel, census, traffic, mobility, POI data).
    • Perform geospatial data processing including geocoding, spatial joins, coordinate transformations, and spatial indexing (e.g., H3 or similar frameworks).
    • Write efficient SQL and Python workflows to automate recurring analyses, spatial feature engineering, and model refreshes.
    • Ensure data quality, consistency, and reproducibility across analytical outputs, including alignment of spatial boundaries and geographic hierarchies.
  • Real Estate Strategy & Decision Support
    • Partner with Real Estate teams to support site selection, market entry, relocations, and closures.
    • Develop drive-time and network-based trade area analyses to assess accessibility and market reach.
    • Conduct market coverage and white space analysis to identify expansion opportunities and underserved areas.
    • Build location-allocation and network optimization models to determine optimal site placement.
    • Quantify cannibalization and competitive effects using spatial overlap and proximity-based modeling.
    • Provide quantitative insights for Real Estate Committee (REC) evaluations and executive decisions.
    • Develop scoring frameworks and decision tools to prioritize opportunities.         
  • Visualization & Communication
    • Create clear, compelling visualizations and dashboards (Tableau, Power BI, or similar) to communicate insights.
    • Develop interactive geospatial visualizations including trade area maps, performance heatmaps, and market opportunity analyses.
    • Present analytical findings and recommendations to senior leadership and non-technical stakeholders.
  • Experimentation & Innovation
    • Design and execute experiments (A/B tests, quasi-experimental designs) to evaluate real estate strategies.
    • Implement geo-based testing frameworks (e.g., test vs. control markets) to measure impact of site decisions.
    • Apply causal inference methods (e.g., difference-in-differences, synthetic control) accounting for geographic spillovers.
    • Explore new data sources (e.g., mobility, foot traffic) and modeling techniques to enhance predictive capabilities.
    • Contribute to building a best-in-class real estate analytics capability.
  • Cross-Functional Collaboration
    • Work closely with GIS, Data Engineering, Finance, Marketing, and IT teams to align data and models.
    • Partner with GIS teams to ensure alignment between spatial analysis, mapping, and production data pipelines.
    • Translate business problems into analytical solutions and actionable insights.
Scope
  • Staff supervision and development:  No
  • Decision making: 
    • Develops models and analytical frameworks used in strategic decision-making
  • Travel:  Up to 10%
  • Flex Designation:  Anywhere

The anticipated salary range for this position is $98,500-$147,800 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.

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