Senior Data Scientist – Advertising Technology

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Philadelphia, PACompetitive Salary5YearsExperienceMaster’s degreeNo Commisssion40.00hours per week

 / Day Shift/Full-Time

Description

GoBrands, Inc. (d/b/a Gopuff) seeks Senior Data Scientist – Advertising Technology in Philadelphia, PA

Job Duties: Enhance customer shopping experience by providing relevant product ads, and maximize ads clicks and conversions. Product ranking, pricing, smart bidding, auto bidding, targeting, and budget recommendations. Identify bid and budget upsell opportunities for daily active flights and give users actionable recommendations for boosting delivery results. Deploy data-driven solutions using cloud-based technologies such as Snowflake, Databricks, and Azure. Analyze complex data sets to extract actionable insights and provide recommendations to shape the advertising technology roadmap for both product and display ads. Stay at the forefront of advancements in machine learning and data science techniques and identify opportunities for their application in AdTech. Telecommuting permitted – work may be performed from anywhere in the U.S.

Minimum Requirements: PhD, or foreign equivalent, in Statistics, Mathematics, or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Master’s degree, or foreign equivalent, in Statistics, Mathematics, or a closely related field plus five years of progressively responsible experience in the job offered or related occupation.

Special Skill Requirements:

  1. Machine Learning and Statistical Modeling: Proficiency in algorithms and techniques such as regression, classification, clustering, and deep learning. Familiar with deploying models in production environments.
  2. Data Analysis and Visualization: Expertise in using tools like Python (Pandas, NumPy), R, SQL, and visualization libraries (Matplotlib, Seaborn, Tableau).
  3. Natural Language Processing (NLP): Experience with NLP techniques and libraries (e.g., NLTK, SpaCy, BERT) to understand and process text data.
  4. A/B Testing and Experimentation: Knowledge of designing, implementing, and analyzing controlled experiments to test hypotheses and measure the impact of changes.
  5. Big Data Technologies: Familiarity with big data frameworks and tools such as Hadoop, Spark, Hive, and Kafka for processing and analyzing large datasets.
  6. Algorithm Design and Optimization: Ability to design and optimize algorithms for ranking, relevance, and pricing in a scalable and efficient manner.
  7. Programming and Scripting: Proficiency in programming languages like Python, R, and Java, as well as scripting for automation and data manipulation.
  8. Cloud Computing: Experience with cloud platforms like AWS, GCP, or Azure for deploying and managing data science models and pipelines.
  9. Business Problem Solving: Applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems.

Any suitable combination of education, training and experience is acceptable. Experience can be gained through academic coursework, scholastic achievement, or work experience.

Must be legally authorized to work in the U.S. without sponsorship. To apply, please send your resume specifying Req.# L24-147732 by email to [email protected].

APPLY HERE!