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Lunar Solar Group
Lunar Solar Group
51 – 200 Angajați
Comerț electronicConsultanțăMarketing
Lunar Solar Group este o firmă globală de consultanță în creștere și o agenție digitală care deservește branduri direct către consumatori și branduri din retail. Echipele sale reunesc expertiză în atragerea și fidelizarea clienților, creație și comerț electronic, pentru a-i ajuta pe clienți să își îmbunătățească performanța de-a lungul întregului parcurs de cumpărare. Prin divizii precum MuteSix, Enkore, No Sleep Studio și Sharma Brands, compania oferă servicii de marketing și creare de site-uri, alături de instrumente proprii de comerț și inteligență artificială pentru atribuirea rezultatelor, personalizare, conversia cumpărătorilor în magazine și gestionarea abonamentelor. Activitatea sa cuprinde atât servicii pentru clienți, cât și dezvoltarea și promovarea produselor tehnologice.
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Locurile de muncă ale companiei

Marketing Measurement Data Scientist (Remote, US)

Build attribution, incrementality, and media mix measurement for Lunar Solar Group, a growth consultancy and digital marketing agency. Turn analysis into practical client budget recommendations.

USStatele Unite ale Americii
110.000 ANG – 130.000 ANG / an
RemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăSpecialist în știința datelor
BigQueryPandasPythonScikit-LearnSQLTableau

Descriere

  • Develop the measurement program for Lunar Solar Group’s Data Strategy & Insights team
  • Work with the Data Strategist to map out measurement plans for clients
  • Set statistical standards for media mix and attribution models, covering specifications, assumptions, validation, diagnostics, power analysis, sample sizes, test duration, and success criteria
  • Plan, run, and analyze incrementality tests on Meta, Google, and other paid channels
  • Build, calibrate, and update media mix models, producing response curves and budget scenarios
  • Assess multi-touch attribution results and review third-party measurement tools
  • Combine attribution, experiments, and modeling to form a unified view of channel value
  • Explain findings and recommendations clearly to clients and internal teams
  • Prepare, validate, and join advertising, web analytics, and commerce data
  • Develop reusable code and templates, and maintain a shared testing calendar
  • Help media buyers and strategists strengthen their measurement skills
  • Report to the Senior Director of Data Strategy and work with media buyers, strategists, account leads, and client stakeholders

Cerințe

  • At least 3 years in applied data science or marketing analytics, including 2 or more years of hands-on marketing measurement work
  • Regularly run at least one of media mix modeling, incrementality testing, or multi-touch attribution, with working knowledge of the other two
  • Strong understanding of causal inference, including experimental design, power analysis, synthetic control, and difference-in-differences
  • Experience building media mix models using adstock, saturation, and calibration against experiment results, with Google Meridian, Meta Robyn, or PyMC Marketing
  • Understand attribution limitations such as walled gardens, signal loss, and view-through credit
  • Proficient in Python, including pandas, statsmodels, and scikit-learn, as well as SQL
  • Able to explain statistical findings in writing and live client discussions to nontechnical audiences
  • Comfortable managing several clients or projects at once and taking ambiguous questions from scoping through delivery
  • Willing to present evidence-backed findings, including unwelcome results
  • Preferred: experience at an agency supporting multiple clients
  • Preferred: experience with GeoLift or CausalImpact
  • Preferred: experience with BigQuery or Snowflake and Git
  • Preferred: experience working with Meta Ads, Google Ads, GA4, and Shopify data
  • Preferred: experience measuring Amazon, retail, or offline channels
  • Preferred: familiarity with Northbeam, Triple Whale, Rockerbox, or Haus
  • Preferred: working knowledge of R
  • Preferred: dashboarding experience with Looker Studio, Tableau, or similar tools
  • Preferred: a degree in statistics, economics, data science, or a related quantitative field, or equivalent practical experience
  • Legally authorized to work in the United States

Beneficii

  • Opportunities for accelerated career growth and leadership
  • Direct mentorship and collaboration with senior leaders across departments
  • A skilled, supportive, and passionate team
  • Medical, dental, vision, short-term disability, long-term disability, and life insurance fully paid
  • 401(k) with company matching
  • Generous paid time off and holidays
  • A day off during your birthday week

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