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YOUR ROLE
You will be developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. You will be pivotal to the growth of our data science team and instrumental as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
This is an extremely hands-on and in-the-weeds Data Science role where you would be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company’s products. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
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WHAT YOU NEED TO SUCCEED
Total Rewards & Compensation
Salary range: $100,000–$145,000
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.
Full Time
Business Services
$107k-131k (estimate)
05/22/2024
06/06/2024
launchpotato.com
DELRAY BEACH, FL
50 - 100
2014
GREGORY VAN HORN
<$5M
Business Services
The job skills required for Lead Data Scientist include Data Science, Machine Learning, Algorithms, Problem Solving, AWS, Initiative, etc. Having related job skills and expertise will give you an advantage when applying to be a Lead 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 Lead Data Scientist. Select any job title you are interested in and start to search job requirements.
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Ability to apply data science to real-world problems, capable of breaking down complex problems into key components where advanced statistics, data science, and AI can be leveraged
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Understanding of limitations and best practices related to model specification, comparison, selection, and deployment.
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in-depth knowledge of statistics, probability, and machine learning methodologies
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Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
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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 Lead Data Scientist jobs
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