Senior Data Scientist

2 weeks ago


Summit, NJ, United States ShiftCode Analytics Full time
Interview: Onsite (F2F)
Visa: USC, GC, GC EAD and H4 EAD
Hybrid: Summit, NJ

Some with the MMM Marketing Mix Modeling experience as well.

JD:
. Your focus will be on developing and deploying machine learning algorithms and data mining strategies to optimize omnichannel communications for media/advertising applications, with an emphasis on generative AI applications to bring business value.

Key Responsibilities:

Strategic Collaboration and Business Impact
  • Work with the business to identify and prioritize data science-driven opportunities, including those leveraging generative AI, with a focus on delivering tangible business value
  • Collaborate with cross-functional teams and suppliers to guide and review modeling efforts
Model Development and Deployment
  • Build, test, validate, and deploy machine learning algorithms and data mining strategies to optimize omnichannel communications media/advertising applications
  • Working knowledge of Mlops process to assist bringing data science projects into production
Ongoing Analysis and Quality Assurance
  • Perform exploratory data analyses and maintain robust quality checks
  • Continuously monitor and refine deployed models to ensure business relevance and accuracy
What we are looking for

Required Qualifications

Education & Experience
  • Advanced degree in statistics, mathematics, economics, or applied science
  • Minimum of 5+ years of experience in analytics, data mining, machine learning and deep learning modeling with experiences or learnings to apply generative AI concepts
  • Experience with online media, marketing attribution models, and adtech ecosystem is highly preferred
Technical Skills
  • Strong proficiency in Python and SQL
  • Working knowledge of relational database management systems
  • Familiarity with advanced tools and platforms such as Apache Spark, sparkML, scikit-learn, TensorFlow, Keras, XGBoost, Databricks, Snowflake, and AWS
Soft Skills & Attributes
  • Strong business acumen and a passion for achieving business value through data science, with an openness to diverse methodologies beyond advanced data science techniques
  • Willingness to try new things and build from scratch to prove value, demonstrating a proactive and innovative approach to problem-solving
  • Excellent communication skills with the ability to collaborate with and present to internal and external partners

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