Senior Data Scientist

Job Title

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