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About Us:
SmartAsset is an online destination for consumer-focused financial information and advice that powers SmartAdvisor, a national marketplace connecting consumers to financial advisors. Reaching approximately 75 million people each month (as of Sept. 2021) through its educational content and personalized calculators and tools, SmartAsset's mission is to help people make smart financial decisions. Ranked on the Inc. 5000 and Deloitte Technology Fast 500™ lists of fastest growing companies in 2021, SmartAsset closed a $110 million Series D round, valuing the company at over $1 billion. SmartAsset was also named to Y Combinator's list of Top 100 Companies of all time and Forbes' list of America's Best Startup Employers in 2020.
SmartAsset has been featured in hundreds of publications, including the Wall Street Journal, CNN, TechCrunch, The New York Times, CNBC, FOX Business, The Washington Post, U.S. News World Report, TIME, Reuters, Businessweek, and Barron’s.
About the Team:
At SmartAsset you will join a team of data scientists that are at the forefront of AI/ML applications for the company. You will have the opportunity to work cross-functionally with leaders from different teams (Marketing, Product, Sales, and Technology), and with our growing team of Data Engineers, and Data Analysts.
You will identify opportunities, create roadmaps, and deliver data-products that will have an enormous impact on the business from week one.
About the Job:
As a Principal Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on leading the deployment of real-time ML models through micro-services and/or Feature Stores, and on model monitoring. You will help to design data science roadmaps, mentor junior data scientists, and lead the adoption of good practices across the whole team (unit testing, model versioning, model monitoring, etc.).
You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations, working cross-functionally with other business leaders.
Skills/Experience You Have:
Skills/Experience Preferred:
Available Benefits and Perks:
SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at Recruiting@smartasset.com.
Full Time
Business Services
09/09/2022
10/25/2022
smartasset.com
DALLAS, TX
200 - 500
2012
Private
NIGEL DEPASS
$50M - $200M
Business Services
SmartAsset is a New York-based fintech company that provides asset management, retirement planning and related financial advisory services for individuals and businesses.
The job skills required for Principal Data Scientist include Data Science, Machine Learning, Python, Problem Solving, AWS, Data Engineering, 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.
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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The Principal Data Scientist acts as a technical consultant to Product Managers from different departments.
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Experience manipulating large data sets through statistical software.
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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.
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Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
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Collaborate with partners and stakeholders to understand people-related business problems, and gathering relevant people data to analyze.
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Understand the business question and clarify related data aspects, such as types of data to collect and time frame.
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