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Principal Data Scientist
Figure Houston, TX
Full Time | Business Services 7 Months Ago
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sadSorry! This job is no longer available. Please explore similar jobs listed on the left.

Figure is Hiring a Remote Principal Data Scientist

About Figure

Figure is transforming the trillion dollar financial services industry using blockchain technology. 

In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.

Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation. 

Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!

About the Role

Each member of the Data Science team plays an integral part of what we are building at Figure. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now! 

What You’ll Get To Do

  • Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance.
  • Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
  • Understand and apply proper risk framework to your analysis and modeling.
  • Collaborate cross functionally to implement models and monitor outcomes.

What We Look For

  • 8 years of hands on Data Science experience building Models and partnering with stakeholders to make business decisions
  • Consumer finance or adtech background is a plus
  • Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
  • Experienced in using Python for analysis and modeling (TensorFlow is a big plus) 
  • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks.
  • Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
  • Excellent cross-functional communication skills. 
  • Ability to thrive in a fast-paced environment.

Benefits and Perks

  • Competitive salary and growth opportunities 
  • Company quarterly performance based bonus
  • Equity stock options package
  • Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
  • Employer funded life and disability insurance coverage
  • Company HSA, FSA, Dependent Care, 401k, and commuter benefits
  • Up to 12 weeks paid family leave 
  • In office, remote, and hybrid work location options
  • Home office and technology stipend for those working outside of a traditional office more than 75% of the time
  • Flexible time-off plan to empower employees to take the time off that they want and need
  • Continuing education reimbursement
  • Routine Team swag deliveries!

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.

Figure is unfortunately unable to provide sponsorship for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

#LI-CW1

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

POST DATE

09/11/2022

EXPIRATION DATE

10/17/2022

WEBSITE

figure.com

HEADQUARTERS

SAN FRANCISCO, CA

SIZE

200 - 500

FOUNDED

2018

TYPE

Private

CEO

MICHAEL CAGNEY

REVENUE

$10M - $50M

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About Figure

Figure is a California-based blockchain platform that provides solutions such as mortgage refinance, equity management and settle infrastructure to individuals and businesses.

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The job skills required for Principal Data Scientist include Data Science, Machine Learning, Python, Algorithms, Big Data, Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Principal Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Principal Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Principal Data Scientist positions, which can be used as a reference in future career path planning. As a Principal Data Scientist, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Principal Data Scientist. You can explore the career advancement for a Principal Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Principal Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Principal Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Principal Data Scientist job description and responsibilities

The Principal Data Scientist acts as a technical consultant to Product Managers from different departments.

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Identifies business trends and problems through complex big data analysis.

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The Senior Data Scientist oversees the activities of the junior data scientists and provides advanced expertise on statistical and mathematical concepts for the broader Data and Analytics department.

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Data scientists clearly understand how to extract, understand, and analyze data.

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A data scientist uses data to understand and explain the phenomena around them, and help organizations make better decisions.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Principal Data Scientist jobs

Experience manipulating large data sets through statistical software.

03/04/2022: Medford, OR

Data scientists need to be critical thinkers, to be able to apply objective analysis of facts on a given topic or problem before formulating opinions or rendering judgments.

02/17/2022: Santa Barbara, CA

Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.

04/04/2022: Davenport, IA

Collaborate with partners and stakeholders to understand people-related business problems, and gathering relevant people data to analyze.

03/08/2022: Idaho Falls, ID

Understand the business question and clarify related data aspects, such as types of data to collect and time frame.

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Step 3: View the best colleges and universities for Principal Data Scientist.

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