Director, Data Science Salary at Unbxd Inc BETA

How much does an Unbxd Inc Director, Data Science make?

As of April 2025, the average annual salary for a Director, Data Science at Unbxd Inc is $223,593, which translates to approximately $107 per hour. Salaries for Director, Data Science at Unbxd Inc typically range from $207,994 to $236,641, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Unbxd Inc Overview

Website:
unbxd.com
Size:
50 - 100 Employees
Revenue:
$10M - $50M
Industry:
Software & Networking

Headquartered in San Mateo, California, Unbxd applies artificial intelligence and advanced data sciences to connect e-commerce shoppers to the products they are most likely to buy.

See similar companies related to Unbxd Inc

What Skills Does a person Need at Unbxd Inc?

At Unbxd Inc, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
  2. Leadership: Knowledge of and ability to employ effective strategies that motivate and guide other members within our business to achieve optimum results.
  3. Commitment: An agreement or pledge to do something in the future a commitment to improve conditions at the prison especially : an engagement to assume a financial obligation at a future date.
  4. Underwriting: Underwriting services are provided by some large financial institutions, such as banks, or insurance or investment houses, whereby they guarantee payment in case of damage or financial loss and accept the financial risk for liability arising from such guarantee. An underwriting arrangement may be created in a number of situations including insurance, issue of securities in a public offering, and bank lending, among others. The person or institution that agrees to sell a minimum number of securities of the company for commission is called the underwriter. The name derives from the Lloyd's of London insurance market. Financial bankers, who would accept some of the risk on a given venture (historically a sea voyage with associated risks of shipwreck) in exchange for a premium, would literally write their names under the risk information that was written on a Lloyd's slip created for this purpose.
  5. Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.

Related Jobs

Harnham
San Francisco , CA

Director of Data Science Hybrid in San Francisco, CA Salary: $230,000 - $270,000 base + equity A growing startup is seeking a Director of Data Science & Analytics to lead a high-performing team and foster a data-driven culture that powers strategic decision-making. This client is a rapidly growing travel platform backed by top investors. As they scale, they're looking for a visionary leader to define their analytics strategy and drive data-informed growth. What You'll Do Mentor and grow a team of senior-level data scientists, fostering a culture of innovation, collaboration, and impact. Leverage statistical modeling and machine learning to forecast business trends, optimize pricing, and enhance customer experiences. Design, implement, and analyze experiments to measure the impact of product changes, marketing campaigns, and operational improvements. Define frameworks for data governance, quality, and infrastructure to ensure accuracy, consistency, and accessibility of insights across t


Sponsored
4/23/2025 12:00:00 AM
Harnham
Alameda , CA

Director of Data Science – Pricing, Lead Scoring & Personalization Location: San Francisco (Remote Eligible) Salary: $230-260k base + equity We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning. Key Responsibilities: Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation. Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness. Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences. Design and analyze


Sponsored
4/22/2025 12:00:00 AM
Harnham
San Francisco , CA

Director of Data Science – Pricing, Lead Scoring & Personalization Location: San Francisco (Remote Eligible) Salary: $230-260k base + equity We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning. Key Responsibilities: Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation. Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness. Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences. Design and analyze


Sponsored
4/22/2025 12:00:00 AM
Harnham
San Mateo , CA

Director of Data Science – Pricing, Lead Scoring & Personalization Location: San Francisco (Remote Eligible) Salary: $230-260k base + equity We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning. Key Responsibilities: Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation. Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness. Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences. Design and analyze


Sponsored
4/22/2025 12:00:00 AM
Harnham
San Francisco Bay Area ,

Director of Data Science – Pricing, Lead Scoring & Personalization Location: San Francisco (Remote Eligible) Salary: $230-260k base + equity We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning. Key Responsibilities: Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation. Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness. Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences. Design and analyze


Sponsored
4/22/2025 12:00:00 AM
Harnham
San Francisco , CA

Title: Director of Data Science Logistics: Hybrid - 2x per week onsite in San Francisco We are seeking a Director of Data Science to lead and expand our growing team. This role will be responsible for doubling the team from four to eight members over the next year, managing performance, engaging with key stakeholders, and driving the technical direction of the team. The ideal candidate has a deep background in data science, AI, and machine learning, along with proven leadership and hiring experience. Company Info: Our client is a Series-C startup with about 700 employees and is a travel platform. Key Responsibilities Oversee team performance, ensuring effective planning, prioritization, and progress tracking through OKRs. Lead hiring efforts to scale the data science team while ensuring alignment with business objectives. Conduct regular 1:1s, brainstorming sessions, and team meetings to maintain momentum and foster innovation. Collaborate with key stakeholders, including the product a


Sponsored
4/22/2025 12:00:00 AM
Harnham
Sunnyvale , CA

Director of Data Science – Pricing, Lead Scoring & Personalization Location: San Francisco (Remote Eligible) Salary: $230-260k base + equity We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning. Key Responsibilities: Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation. Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness. Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences. Design and analyze


Sponsored
4/22/2025 12:00:00 AM
Harnham
Fremont , CA

Director of Data Science – Pricing, Lead Scoring & Personalization Location: San Francisco (Remote Eligible) Salary: $230-260k base + equity We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning. Key Responsibilities: Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation. Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness. Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences. Design and analyze


Sponsored
4/22/2025 12:00:00 AM

Check more jobs information at Unbxd Inc

Job Title Average Unbxd Inc Salary Hourly Rate
2 Solution Engineer $137,876 $66
3 Talent Acquisition Specialist $84,316 $41
4 Team Lead, Analytics $135,594 $65
5 Technical Program Manager $167,568 $81
6 Account Executive $85,518 $41
7 Data Analyst $65,219 $31
8 Demand Generation Specialist $94,181 $45
9 Executive Assistant $97,754 $47
10 Finance Operation Analyst $88,784 $43
11 Front-End Developer $100,402 $48
12 Full Stack Developer $77,133 $37
13 Senior Finance Executive $303,453 $146

Hourly Pay at Unbxd Inc

The average hourly pay at Unbxd Inc for a Director, Data Science is $107 per hour. The location, department, and job description all have an impact on the typical compensation for Unbxd Inc positions. The pay range and total remuneration for the job title are shown in the table below. Unbxd Inc may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $223,593 look to you?

FAQ about Salary and Jobs at Unbxd Inc

1. How much does Unbxd Inc pay per hour?
The average hourly pay is $107. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Unbxd Inc?
According to the data, the highest approximate salary is about $236,641 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Unbxd Inc?
According to the data, the lowest estimated salary is about $207,994 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.