Manager, Data Science - New York, United States - Spark Foundry

Description

Job Description

This is a hybrid role, requiring three days in-office each week. If you are contacted for an interview, your recruiter will discuss specifics with you, inclusive of any necessary reasonable accommodations.

About Spark Foundry:

Spark Foundry is a global media agency that exists to bring HEAT – Higher Engagement, Affinity, and Transactions – to brands. By combining flawless media fundamentals with aggressive innovation, Spark inspires consumers to pay more attention, to care more about our clients' brands, and to buy more products and services from them.

Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world's best and most beloved brands and companies. We combine boutique-caliber insights and service with the buying clout and first-look access of a global leader, bringing the heat to challenger brands that want to act like giants, and to giant brands that want to act like challengers.

With a bottom-up culture that celebrates diversity and aims for all voices to be heard, Spark has become a magnet for the industry's best talent, with one of the best retention rates in the industry. And by applying a whole-person approach to professional and personal development, Spark develops a workforce that is well prepared for today's challenges, and also poised to create meaningful careers in the years to come.

Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights, content and creative production, communications and strategy, finance and marketing, and sociology, psychology, and other liberal arts disciplines.

Overview:

The Manager, Data Science is responsible for advanced audience development, strategic platform vision, and technology enablement. The role requires the candidate to sift through big data by leveraging advanced statistical concepts and guide the client into the world of futureproofed technology. Working closely with client stakeholders and internal team leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative. The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients. It provides ongoing strategic account direction/vision for technology, process, and data science.

Role Objectives:

• · Build strong relationships with internal stakeholders and groups, facilitating synergy between the planning and activation functions that manage day-to-day client business
• · Build and develop relationships with client business directors and brand teams, ensuring that client and overall data proposition is relevant and aligns with strategy direction
• · Grow product delivery and agency revenue organically by cross-selling and up-selling value-add data science products across client divisions, markets, categories, etc.
• · Drive a culture of 'always on' data driven decision making that will institutionalize the use of consumer-driven analytics in media/marketing investment planning
• · Consult with senior client marketing and business leaders to define and answer most important business questions
• · Advise on how to best leverage media and marketing investments to drive business results
• · Work collaboratively with the network to provide the client with the very best thinking and leadership in creating meaningful and measurable marketing experiences
• · Underpin client marketing processes with "Big Picture" concepts that will advance them into the future of audience addressability
• · Guide statistically sound test design that ensures limited to no bias resulting in actionable takeaways
• · Keep abreast of evolving media landscape, including research and emerging trends to provide insight to both media teams and client (as required)
• · Create and manage deliverables against detailed project plans that align expectations with outcomes
• · Provide a high-value consultation layer on top of data science deliverables
• · Determine the best means of communicating data science driven insights to clients that ensures understanding of results and application of the analyses is applied
• · Build presentations providing clear storyline – why the work is important, the truths that the analytics reveal, and the actions that should follow the analyses
• · Build the profile of Data Science and Advanced Analytics within the agency by packaging and evangelizing best in class client work

• · 3+ years of experience in the Advertising or Marketing industry
• · Experience working with and manipulating databases (SQL)
• · Experience using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets
• · Experience using web services (Redshift, AWS, etc.)
• · Working knowledge of advanced statistical concepts and machine learning techniques (regression, clustering, etc.)
• · Experience and expertise intersecting consulting skills, data science, and marketing strategy to drive and improve clients' business results
• · Understanding of experimental design and the concept of statistical significance in terms of test results
• · Quantitative educational background (preferred advanced degree in Statistics and / or Data Science)
• · Experience in a cross-functional team environment with agency experience a big plus
• · Strong understanding of contemporary marketing analytics, advertising technology and research techniques, as well as an innovative vision on how the practice should evolve to keep pace with the ever-changing marketing environment
• · Strong client management/consultative experience with both presenting and resolving issues
• · Extensive experience leading and managing marketing technology projects from ideation through installation
• · Strong critical thinking and problem-solving skills – a demonstrated ability to mine data for relevant and actionable insights
• · Solid written and verbal communication skill with ability to communicate/translate complex concepts to non-technical audience
• · Strong understanding and experience with digital media buying, KPI development, and technology practices during campaign planning and execution
• · Demonstrated experience with programmatic audience buying concepts and execution
• · Powerful leadership qualities, as will be required to lead external and internal resources into new marketing effectiveness territories
• · Strong attention to detail, and be able to quality-check their teams' work to ensure that data anomalies/mistakes are caught prior to delivery of the analysis to the client teams
• · Strong management capabilities, both operationally (as well as strategically) to ensure that guidance is given to all teams on how to enhance the product as the account matures)
• · Outgoing and able to integrate with fast-paced planning and activation teams
• · Able to cultivate excellent relationships with technology and research partners
• · Ability to meet deadlines in a fast-paced environment
• · Hands-on, problem-solving abilities – "can do" approach (someone who is a thinker and a doer)

If you require accommodation or assistance with the application or onboarding process specifically, please contact

All your information will be kept confidential according to EEO guidelines.

Compensation Range: $81,500-$128,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2024.

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