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Head Data Scientist Jobs (NOW HIRING)

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

InvestedintheMission

Lead Data Scientist

California, MO · On-site

$130 - $200/hr

Be a trusted thought partner to the Head of Data and leaders of other teams on data architecture, applied data science, and AI. Qualifications * 5+ years: data science or related experience, with a ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Head of Data Science Location: United States Workplace Type: Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch ...

NCSU

Data Science Librarian

Raleigh, NC · On-site

This position reports to the Department Head, Data Science Services. This position is based in North Carolina. This position is eligible for flexible hours with a hybrid work environment. This ...

Tranzact

Head of Data Science

Fort Lee, NJ · On-site

As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide ...

Ocean Bay LLC

Data Scientist (5618)

Indian Head, MD · On-site

Ghostrock Systems Development LLC, a subsidiary of Three Saints Bay, LLC and a Federal Government Contractor industry leader is searching for a Data Scientist to join our Team in Indian Head, MD.

Rundoo, Inc.

Senior Data Scientist

Manhattan, NY · On-site

$120 - $150/hr

You will report directly to the Head of Data Science . What you'll do as a Data Scientist at Rundoo * Deliver high-trust analysis on clear timelines : stakeholders trust both the answer and the ETA ...

Rundoo, Inc.

Senior Data Scientist

San Francisco, CA · On-site

$120 - $150/hr

You will report directly to the Head of Data Science . What you'll do as a Data Scientist at Rundoo * Deliver high-trust analysis on clear timelines : stakeholders trust both the answer and the ETA ...

Neura Market

Senior Data Scientist

Manhattan, NY · On-site

$150 - $230/hr

You will report directly to the Head of Data Science . What you'll do as a Data Scientist at Rundoo * Deliver high-trust analysis on clear timelines : stakeholders trust both the answer and the ETA ...

Neura Market

Senior Data Scientist

San Francisco, CA · On-site

$150 - $230/hr

You will report directly to the Head of Data Science . What you'll do as a Data Scientist at Rundoo * Deliver high-trust analysis on clear timelines : stakeholders trust both the answer and the ETA ...

Snorkel AI

Lead Data Scientist

New York, NY

$130K - $200K/yr

Be a trusted thought partner to the Head of Data and leaders of other teams on data architecture, applied data science, and AI. Qualifications * 5+ years: data science or related experience, with a ...

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Head Data Scientist information

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How much do head data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for head data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a head data scientist typically balance hands-on technical work with leadership responsibilities?

As a Head Data Scientist, you'll often split your time between high-level strategy, team leadership, and advanced technical problem-solving. While you'll guide project direction, mentor junior scientists, and collaborate with stakeholders, you'll also be expected to stay engaged with the latest analytical techniques and occasionally contribute directly to model development or code reviews. Striking this balance requires excellent time management and the ability to delegate effectively while ensuring technical standards remain high. Regular communication with both your team and other departments is essential to align data initiatives with business goals.

What is the difference between Head Data Scientist vs Data Scientist?

AspectHead Data ScientistData Scientist
CredentialsMaster's or PhD in Data Science, Statistics, or related fieldsBachelor's or Master's in relevant fields
Work EnvironmentLeads teams, strategic planning, oversees projectsExecutes data analysis, builds models, reports findings
Industry UsageCommonly found in organizations with large data teamsWidespread across industries for data analysis roles

The Head Data Scientist focuses on leadership, strategy, and overseeing data initiatives, while the Data Scientist primarily handles hands-on data analysis and modeling. Both roles require strong technical skills, but the Head Data Scientist has additional responsibilities in team management and strategic planning.

What is a head data scientist?

Head Data Scientists are senior professionals who lead data science teams in analyzing large datasets to extract insights, drive decision-making, and solve complex business problems. They set the strategic direction for data science initiatives, collaborate with other departments, and ensure that data-driven solutions align with organizational goals. In addition to overseeing technical work, they also mentor team members, manage projects, and often communicate findings to executive leadership.

What are the key skills and qualifications needed to thrive as a head data scientist?

A Head Data Scientist needs deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, cloud platforms, big data tools, and experience leading data science projects are crucial. Strong leadership, strategic thinking, and communication skills help guide teams and align data initiatives with business goals. These competencies ensure effective team management, innovative solutions, and measurable business impact from data-driven strategies.
More about Head Data Scientist jobs
What cities are hiring for Head Data Scientist jobs? Cities with the most Head Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Head Data Scientist jobs? States with the most job openings for Head Data Scientist jobs include:
What job categories do people searching Head Data Scientist jobs look for? The top searched job categories for Head Data Scientist jobs are:
Head Data Scientist jobs near you
Infographic showing various Head Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Junior Data Scientist

Cushman & Wakefield

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago

Cushman & Wakefield rating

7.4

Company rating: 7.4 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

110th of 202 rated real estate companies

Job description

Job Title

Junior Data Scientist

Job Description Summary

This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and evolution of Cushman and Wakefield Quantitative Insight Group's (QIG) analytical capabilities by producing rigorous, insight-driven work on commercial real estate markets across the Americas. This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban planner, and who brings the technical skills to build and operate the data infrastructure their own work requires.
This is not primarily an engineering role, though the ideal candidate will possess data engineering knowledge, skills, and abilities. The Analyst will spend most of their time doing substantive analytical and research work: synthesizing complex datasets, identifying market patterns and anomalies, and producing outputs that inform Cushman & Wakefield's House View, including elements that are unique to QIG, and related analytical products for key clients. At the same time, the candidate should be comfortable constructing and maintaining data pipelines, working fluently in Python and/or R and SQL, and collaborating closely with Technology & Data Solutions (TDS) as a knowledgeable and credible partner.

Job Description

Key Responsibilities

Real Estate & Urban Economic Analysis (45%)

  • Conduct rigorous quantitative analysis on commercial real estate markets, synthesizing property, macroeconomic, and urban data to surface market trends, structural shifts, and investment-relevant insights.

  • Apply econometric and statistical methods (time series modeling, regression, spatial econometrics, or similar) to real estate and labor market questions in support of QIG research products.

  • Integrate geospatial data and methods into analytical workflows: working with Census geographies, parcel data, land use classifications, walkability or transit metrics, demographic overlays, and similar inputs to enrich market analysis.

  • Contribute to the development of novel datasets and indicators that advance QIG's analytical edge, including working closely with the Head of Data Science & Geospatial Analytics to specify and build integrated data products combining proprietary CRE data with public and third-party sources.

  • Support the QIG team on ad hoc analytical requests from Americas Research, the Global Think Tank, and senior stakeholders, producing clean, well-documented, and reproducible outputs.

Data Engineering & Pipeline Maintenance (35%)

  • Build andmaintainautomated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in analytical modelsand reoccurring analysis.

  • Ensure data integrity and consistency across QIG inputs and outputs through validation, quality control procedures, and structured data interfaces.

  • Perform exploratory data analysis and profiling on raw and processed datasets tovalidatepipeline outputs andidentifyanomalies or inconsistencies.

  • Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based competitive sets evolve.

  • Serve as a knowledgeable liaison to TDS: translating analytical requirements into engineering specifications, tracking the status of data requests in the TDS backlog, and validating outputs against analytical expectations.

Documentation, Integration & Infrastructure (20%)

  • Develop andmaintaininternal documentation covering data sources, model architecture, data flows, and diagnostic procedures, with attention to field-level lineage and traceability.

  • Serve as the team's subject matter expert on integration and processing of internal, third-party vendor, and public datasets (e.g., Census TIGER, IPUMS, LODES, NLCD, Overture Maps), and advise on cleaning, normalization, andappropriate analyticalapplications.

  • Monitor the evolution of third-party data products; assess their fit against QIG analytical requirements and produce intake specifications when new sources are approved for integration.

  • Support the adoption of emerging analytical technologies (including ML/AI methods and advanced data infrastructure patterns) through hands-on prototyping and coordination with TDS whereappropriate.

Qualifications

  • Bachelor's degree inEconomics,Data Science,Real Estate, Applied Economics, Geography,UrbanPlanningor anyclosely related field with quantitative emphasis.A master's degree ispreferredand adoctoral degree is a plus.

  • 2 to 6yearsof experience ina research, analytical, or data science role, preferably in a real estate, urban policy, planning, or economic research context.

  • Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions.

  • Working knowledge of geospatial data and methods: experience with GIS tools (ArcGIS, QGIS, or programmatic approaches via R or Python), familiarity with spatial data formats and concepts, and comfort integrating geographic context into analysis.

  • Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working knowledge of SQL. Familiarity with cloud platforms (Azure, AWS) and version control is a plus.

  • Experience working with public datasets commonly used in urban and real estate research: Census products (ACS, TIGER, LODES), BLS, IPUMS, or similar.

  • Ability to produce clean, well-documented, reproducible analytical work and communicate findings clearly to both technical and non-technical audiences.

  • Comfortable operating in a cross-functional environment, working both independently and alongside engineering and research teams on iterative deliverables.

  • Genuine intellectual interest in urban economics, commercial real estate markets, and the spatial dimensions of economic activity.

  • Comfortability in communicating analysis, methods and related topics withrelated teams and immediate management.


Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 114,750.00 - $135,000.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.

In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or emailAccommodations@cushwake.com. Please refer to the job title and job location when you contact us.

INCO: "Cushman & Wakefield"

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