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Sr. Data Scientist I (Adtech)

107Β 000 - 193Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle/senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Sr. Data Scientist I (Adtech): Taking ownership of statistical modeling to provide actionable insights into campaign effectiveness, helping brands with data-driven decisions. Focus on optimizing statistical models, integrating data science projects into the platform, and communicating mathematical results as business insights to external stakeholders.

Location: Remote (USA)

Salary: [$107,000 - $193,000]

Company

Rockerbox with hirify.global empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth.

What you will do

  • Conduct exploratory data analysis and engineer features to build statistically sound models.
  • Adapt, optimize, and iterate on current modeling packages.
  • Stay up to date with the latest causal inference and experimental design techniques.
  • Translate complex business asks into rigorous mathematical problems.
  • Provide code reviews and feedback on system/model design for team members.
  • Work closely with product and engineering to integrate data science projects into the Rockerbox platform.

Requirements

  • 5+ years of industry experience with a BA or BSc in sciences or engineering or 2+ years of industry experience with a MSc or PhD degree in sciences or engineering.
  • Strong knowledge of regression modelling, statistical testing and experimental design.
  • Proficiency in scientific Python stack (NumPy, Pandas, Statsmodels, Matplotlib etc.)

Nice to have

  • SQL for data wrangling.
  • Applying Bayesian techniques to predictive modelling problems.
  • Working with AWS cloud technologies.
  • Experience using Probabilistic programming libraries, e.g. STAN, PyMC, numpyro.
  • Familiarity with marketing analytics concepts such as campaign allocation, measurement or budget optimization.

Culture & Benefits

  • Fast-paced, results-driven environment.
  • Iterative development process with quick impact.
  • Supportive, light-hearted team that values collaboration and innovation.
  • Committed to professional growth and will actively support your development in both technical and business domains.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’

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