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Data Scientist
National Funding San Diego, CA
$96k-119k (estimate)
Full Time | Business Services 7 Months Ago
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National Funding is Hiring a Data Scientist Near San Diego, CA

Data Scientist - San Diego, CA (La Jolla/UTC area)

Hybrid Work, Full time M-F 8am-5pm PST, Working Onsite in San Diego 1-2 days/week

Being authorized to work in the U.S. is a precondition of employment.

National Funding is not considering candidates requiring 1099 or C2C.

National Funding is continuing to grow its Data Science Department and has an exciting opportunity for a Data Scientist.
Data Scientist Major Responsibilities

• Apply data science techniques in credit risk and marketing analytics domains.
• Work closely with stakeholders to understand business problems and requirements.
• Manipulate structured and unstructured datasets from disparate data sources. Perform data pre-processing, integration, cleansing, descriptive analysis and visualization.
• Identify data issues, perform root cause analysis when necessary, and communicate with data owners.
• Develop models and algorithms to automate and improve business decisions.
• Identify and test hypotheses, ensuring statistical significance, as part of building predictive models for business application.
• Monitor and analyze model performance for validation and troubleshooting of issues that may arise.
• Participate in R&D work to further advance the analytics platform.
• Contribute to improving the overall analytic capabilities of the team.
The Ideal Candidate

• Quantitative background in statistics, mathematics, computer science, engineering, or related discipline.
• 3-4 years of experience in a related field.
• Understanding and application of various statistical analysis and machine learning methods.
• Fluency in programming languages such as R, Python, SQL.
• Proficiency in working with SQL databases. Experience with cloud technology (AWS) a plus.
• Strong programming practices utilizing version control systems (e.g. Git)
• Demonstrated machine learning experience.
• Attention to detail.
• Strong communication skills across technical and non-technical audience.

Why National Funding?

Positive, energetic, passionate, business casual environment with management who commits to your success

Fantastic benefits package: Our current benefit package includes medical, dental, vision, life, LTD and AD&D insurance as well as a 401(k) Retirement Savings plan with an employer match. Eligibility for all benefits will start the first of the month following 60 days of employment.

Numerous employee events throughout the year, including our annual traditions such as a Day at the Del Mar Racetrack, Del Mar Mud Run, Bring Your Kid to Work Day, Holiday Party, Employee and Family Picnic, sporting events and more.

National Funding is one of the leading providers of short term loans and equipment leasing for small businesses across the United States. In both 2013 and 2014, we were ranked by the San Diego Business Journal as one of the 100 Fastest Growing Private Companies in San Diego and listed on the Inc. 5000 List of America’s Fastest Growing Private Companies. We serve the small business community nationwide by offering a range of financial services and products. Since 1999, we have been in the forefront of the equipment leasing business, working with businesses in hundreds of communities and industries to expand and upgrade their business equipment. As we have grown, so too has our product line, and now we are one of the country’s largest private lenders of small business loans. Our customers call on us to get working capital, merchant cash advances, credit card processing, and, of course equipment leasing.

Please apply through our website at https://www.nationalfunding.co... and attach your resume. National Funding is an Equal Opportunity Employer.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$96k-119k (estimate)

POST DATE

08/21/2022

EXPIRATION DATE

12/29/2022

WEBSITE

nationalfunding.com

HEADQUARTERS

WILTON, NH

SIZE

200 - 500

FOUNDED

1999

TYPE

Private

CEO

RICHARD BRINKER

REVENUE

$50M - $200M

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About National Funding

National Funding is a financial technology firm that provides business loans and equipment financing for small and medium-sized businesses.

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

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If you are interested in becoming a 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 Data Scientist for your reference.

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

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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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 Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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

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