5 applied data scientist jobs at 2 companies in Kenly, NC
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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.
Q2NYSE: QTWO: Develops digital banking and lending platforms for financial institutions.
8+ YOEAdvanced applied ML experience with production deployment; strong Python/R/SQL skills; 6–8+ years data science experience; LLM, prompt engineering, and RAG experience; strong communication and leadership.
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.