Search for Data Scientist roles in New York, specifically in marketing or tech industries, requiring 3-4 years of Python experience, full-time positions, and a salary range of $72,000 to $110,000.

Okay, I've searched for Data Scientist roles in New York within the marketing or tech industries, requiring 3-4 years of Python experience, full-time positions, with a salary range of $72,000 to$ 110,000. I found 145 relevant positions for you to review.

Data Scientist

New York, NY

Marketing

3-4 years

$72000+

$110000-

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Publicis Groupe merges technical expertise with business strategy, aimed at leveraging data to drive innovative advertising solutions that resonate in the marketplace. The primary purpose of this position is to harness first- and third-party data alongside behavioral signals to identify opportunities that can enhance audience targeting and campaign effectiveness. Responsibilities include developing predictive models, deploying solutions using Python in cloud environments, and translating complex datasets into actionable insights for strategic pitches. A successful candidate will bridge the gap between intricate data analysis and creative media applications, demanding both analytical prowess and strong interpersonal skills to effectively collaborate with various teams in high-pressure situations. Success in this role will likely be measured by the ability to contribute meaningfully to new business pitches, and the establishment of innovative, data-driven audience solutions that stand out in competitive settings.

Company Analysis:

Publicis Groupe operates as a powerhouse in the global communications industry, positioned as the third-largest group in this space, characterized by its innovative integration of creativity, technology, and data. This unique position emphasizes a blend of advanced analytics and audience understanding, enhancing its service offerings to clients. The company culture appears to prioritize collaboration and innovation, as indicated by its 'Power of One' approach that consolidates diverse capabilities into unified offerings for clients. The Data Scientist role is strategically pivotal, aligning with the company's mission to integrate data-driven insights into creative solutions, placing the candidate in a vibrant team that catalyzes business growth and innovation. Given the fast-paced market and client-facing nature of the role, candidates should be prepared for a dynamic work environment that demands agility, creativity, and the ability to simplify complexity for various stakeholders.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Can you describe a time when you successfully translated complex data insights into a compelling visualization for a stakeholder? What was the impact?
Tell me about a project where you used predictive modeling to enhance audience targeting. What approach did you take?
How do you handle working under pressure in high-stakes environments such as pitch presentations? Can you give an example?
What strategies do you use to identify and model audience whitespace opportunities using data?
How would you approach deploying a predictive segmentation model in a Databricks environment? What steps would you take?
Describe your experience with machine learning techniques. Which models do you find most effective in audience analysis?
Imagine you are asked to create a new data-driven solution for a challenging client problem. How would you start the development process?
How would you ensure that your data science outputs effectively support end-to-end communication planning across creative and media partners?
Why are you interested in working with Publicis Groupe, and how do you think your values align with our motto 'Viva La Différence'?
Can you explain how your previous experience has prepared you for the collaborative aspects of this role, especially with audience strategists and marketing technologists?
What do you think are the biggest trends affecting data-driven marketing today, and how would that influence your work as a Data Scientist?
What questions do you have about the specific responsibilities of this role and how it fits within the broader goals of Publicis Groupe?
How do you stay updated with industry changes and integrate new findings into your work?
As a Data Scientist working on innovative solutions, how do you balance experimentation with practical implementation?
What do you consider a key metric for measuring the success of a data-driven advertising solution?

Job Details

Overview Company

Data Scientist

$72.39k/y-$109.48k/y

Lensa

a day ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Publicis Groupe is seeking a Data Scientist to join their team in New York, NY. The role involves collaborating with audience strategists and marketing technologists to develop data-driven applications and AI-driven advertising solutions.

About the Role

As a Data Scientist at Alpha Labs, you will identify and activate data-driven applications across a connected consumer journey. You will partner with Audience Strategy leads to model audience whitespace opportunities, design predictive segmentation models, and build Python-based data science solutions. You will collaborate with creative, media, and technology partners to embed data science outputs into communication planning and contribute to strategic responses in RFPs and pursuits.

About You

Required:

3-4 years of experience in Python programming and data analysis (Pandas, NumPy, Scikit-learn), ideally within a media, marketing, or tech context.
Advanced skills in regression, predictive modeling, statistical inference, and experimental design.
Familiarity with Marketing Mix Models, attribution techniques, and consumer behavior datasets.
Experience visualizing insights for C-level or new business audiences.
Proven experience deploying applications and models into cloud environments, Databricks experience a plus.
Strong interpersonal skills with the ability to operate in high-pressure, fast-paced environments.

Preferred:

Combine strategic vision with hands-on execution in high-pressure pitch environments.
Thrive in fast-paced, entrepreneurial teams that prioritize innovation and experimentation.
Can make the complex simple and the theoretical actionable.
Possess an instinct for cultural signals, behavioral shifts, and emerging data opportunities.

Benefits

Medical coverage, dental, vision, disability, 401K.
Parental and family care leave.
Family forming assistance.
Tuition reimbursement.
Flexible time off.

Lensa

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New York, NY