Data Scientist or Senior Data Scientist - Statistical Modelling/ MMM - New York- Hybrid - $110-150,000 - Growing Media Agency

Our client is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. They are known for pairing the brightest data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture.

Their clients span the leading brands in finance, technology, media, CPG, real estate, and many other categories. These partnerships have earned them multiple awards and recognition.

Their Data Science team is a group embedded in the media buying practice to translate the domain knowledge gained from running media for their clients to smart tools that push the limits of advanced advertising. Their work includes predictive modeling/optimization, building workflow automation apps, and the pioneering application of Generative AI for novel marketing solutions – all in the service of making our work less repetitive and manual, more optimized, and seeking better outcomes for our media activation and media consulting clients.

They are seeking Data Scientists and Senior Data Scientists who can understand the core business objectives of the internal teams and their clients, and ideate, design, and develop innovative tools leveraging text-based Large Language Models (LLMs) and other Generative AI techniques. While experience in media is a plus, a passion for applying cutting-edge AI to marketing challenges is crucial.

They are seeking both Data Scientists and Senior Data Scientists who can understand the core business objectives of our internal teams and clients, and ideate, design, and develop sophisticated marketing measurement solutions and analytical tools. This role will heavily use econometric techniques, statistical modeling, and machine learning to drive strategic marketing decisions. While experience in media is a plus, a passion for applying rigorous quantitative methods to marketing challenges is crucial.

What You’ll Do

Data Scientist

Design, develop, validate, and deploy statistical and machine learning models for marketing analytics, including Marketing Mix Models (MMM), customer segmentation, optimization, and lift studies
Develop and apply quantitative techniques (e.g., econometric modeling, time series analysis, panel data analysis, causal modeling, experimental design, and various machine learning algorithms) to improve company IP and create tools for company clients
Analyze large-scale datasets, including panel data and time series data, to extract actionable insights regarding customer behavior, market trends, and campaign performance
Collaborate with other data scientists and engineers to productionalize new models and analytical tools
Work with client teams and strategists to translate model outputs and analytical findings into compelling narratives and actionable recommendations
Stay current with advancements in marketing analytics, data science, and statistical modeling

Senior Data Scientist

Lead the design and development of advanced modeling initiatives
Mentor and guide other data scientists on the team, including upskilling them in advanced modeling techniques and marketing analytics best practices
Drive innovation and identify opportunities for applying cutting-edge techniques in the marketing domain
Manage multiple concurrent projects and serve as a technical leader on complex initiatives

Who You Are And What You Have

Education & Core Experience (All Levels):

A Bachelors, Masters or PhD from a well-regarded college or university. STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred
Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning
Experience utilizing Python and SQL
Understanding of regression techniques, econometric modeling, and statistical inference methodologies
Experience building data science software or analytical workflows
Experience in advertising or advertising technology is a strong plus.

Data Scientist

2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience
Experience or strong interest in marketing analytics solutions, with exposure to concepts like Marketing Mix Modeling (MMM), time series analysis, and panel data analysis
1+ years building data science software or analytical workflows
Academic projects, internships, or personal projects demonstrating application of modeling techniques preferred

Senior Data Scientist

4+ years (with Masters) or 2+ years (with PhD) of hands-on experience. Candidates with a Bachelors degree and 5+ years of highly relevant experience may also be considered
Proven experience (minimum 3+ years) in developing and deploying marketing analytics solutions, with specific expertise in Marketing Mix Modeling (MMM), time series analysis, and the analysis of panel data
3+ years building data science software or robust analytical workflows
Leadership experience managing or mentoring junior data scientists
Portfolio of projects or case studies demonstrating successful application of advanced modeling techniques to solve complex marketing problems (preferred)

Skills, Abilities, And Knowledge

Superb communication and presentation skills, with an ability to explain complex modeling concepts and results to non-technical stakeholders.
An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may include statistical modeling, machine learning, or econometric approaches.
Strong understanding of econometric principles, statistical inference, experimental design, and their practical application to marketing challenges.
Deep expertise in areas such as Marketing Mix Modeling, time series forecasting, panel data analysis, and customer lifetime value modeling.
Proven ownership of projects taken to completion, from conceptualization to deployment and impact measurement.
A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work
Experience working on a tech team, with experience in cloud technologies, version control, etc.

Competencies

Ability to prioritize time, work and effort while multitasking on multiple projects
Collaborative attitude
Self motivated and exhibits initiative
Willing & able to learn quickly
Abundant intellectual curiosity and integrity
For Senior Level: Desire to mentor and teach others, plus proven project leadership abilities

Benefits

Unlimited paid time off
401k with company matching and no vesting period
Annual bonuses
Generous medical plan
Paid parental leave

How do you Apply?

If you are interested in applying for the Data Scientist/ Senior Data Scientist ( Statistical Modelling/ MMM ) role please do so via the link on this page or contact Digital Republic on the phone or email

Contact us to find out more:

Get in contact with Digital Republic Talent by sending a mail to r.manso@digitalrepublictalent.com. Check out the website on www.digitalrepublictalent.com. You can also find our more on Linkedin, Instagram or Facebook

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