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Major League Soccer’s Strategy and Business Intelligence group is tasked with supporting strategic decision making and resource allocation across the League – with a focus on driving fan growth, revenue capture, and operating efficiencies – by providing impactful data driven insights, analysis, and recommendations.
The group is seeking a Principal Data Scientist to oversee the Fan & Marketing vertical. This position will use fan and sport data to analyze, model, and drive strategic recommendations that support business on and off the field. The ideal candidate will be responsible for leveraging data-driven insights to enhance fan engagement, optimize marketing strategies, and contribute to the overall growth and success of the League. This hire will report into the Director of Data Science and is highly curious and analytical, able to distill clarity from complexity, and has an entrepreneurial desire to innovate.
Primary Responsibilities
Additional Responsibilities
Required Skills
Desired Skills
Total Rewards
Starting Base Salary: $130,000 – $155,000. MLS/SUM base salaries are contingent upon several factors including individual qualifications, market financials, and operational business needs.
We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent through the following:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
We are committed to providing equal opportunity and reasonable accommodations to employees with disabilities. MLS/SUM complies with the Americans with Disabilities Act and all other applicable federal, state, and local laws regarding disability discrimination and accommodation.
Other
Sports & Recreation
$183k-223k (estimate)
01/06/2024
04/03/2024
MLSsoccer.com
<25
Sports & Recreation
The job skills required for Principal Data Scientist include Data Science, Analysis, Python, Insight, SQL, Computer Science, 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.
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
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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.
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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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Step 3: View the best colleges and universities for Principal Data Scientist.