5 applied scientist jobs at 2 companies in Pahokee, FL
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Staff Applied Scientist, AdTech
Asheville or Atlanta or Boynton Beach or Charleston or Charlotte or Delray Beach or Fort Lauderdale or Miami or Raleigh
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science experience in digital/performance marketing, strong ML modeling (bandits, ranking, LTV), AWS deployment experience, expert Python and SQL, adtech or leadgen experience preferred.
Asheville or Atlanta or Boynton Beach or Charleston or Charlotte or Delray Beach or Fort Lauderdale or Miami or Raleigh
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science experience in digital/performance marketing, hands-on ML modeling and deployment in AWS, strong Python and SQL, experience with bandits/recommendation/LTV/funnel optimization, ROAS-focused.
WorldQuant: Develops systematic investment strategies through quantitative research and data.
2+ YOEPhD in a quantitative field, 2+ years applying machine learning to complex problems, strong programming in C++ and Python, PyTorch experience, familiarity with Git and software development practices, strong communication and statistical inference skills.
Asheville or Atlanta or Boynton Beach or Charleston or Charlotte or Delray Beach or Fort Lauderdale or Miami or Raleigh
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science in digital/ performance marketing, strong modeling fundamentals, hands-on ML in AWS, expertise in Python and SQL, experience with bandits/recommendation/LTV and driving ROAS.
Asheville or Atlanta or Boynton Beach or Charleston or Charlotte or Delray Beach or Fort Lauderdale or Miami or Raleigh
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science in digital/performance marketing, strong modeling fundamentals, hands-on ML in AWS, expertise with Python and SQL, experience with bandits/recommendation/LTV and ROAS-focused modeling.