Senior Manager of Econometrics

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Degree in statistics, data science, applied math, economics, or related field., 5-6 years of experience in applied data science with a strong foundation in probability theory and econometrics., Significant practical experience with R/Python and SQL, and hands-on experience with real-world data., Expertise in causal inference, experimental design, and observational measurement techniques..

Key responsibilities:

  • Lead the development and implementation of advanced econometric models to address marketing questions.
  • Provide analytical leadership on client inquiries using appropriate econometric tools.
  • Oversee a team of econometricians, fostering a culture of continuous learning and mentoring.
  • Collaborate closely with clients to deliver actionable insights that maximize their marketing investments.

Tinuiti logo
Tinuiti Large http://www.tinuiti.com
1001 - 5000 Employees
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Job description

Who we are:

Tinuiti is the largest independent performance marketing firm across Streaming TV, Google, Meta, and Amazon, with almost $4 billion in digital media under management and over 1,200 employees. With industry-leading expertise in search, social, Amazon and marketplaces, addressable TV, mobile apps, Influencer, Lifecycle, and more, Tinuiti understands that success requires both strategy and channel expertise. Our goal when we come to work every day is simple - to grow happiness. For our clients, their customers, our people and our partners. Growing happiness guides everything we do and our core values - Unleash Greatness, Never Stop Learning, Ignite Your Passion, Thankful Living, and Inspire Innovation & Change - inspire us to maintain a culture where our people take pride in their work and have fun doing it.

We support 100% remote work for this role!

We’d love to hear from you if:

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you qualify, but don't necessarily meet every single point on the job description, please still get in touch.

As the Senior Manager, Econometrics you will:

  • Lead the development and implementation of advanced econometric models and algorithms to answer core marketing questions at production scale.

  • Provide analytical leadership on sophisticated client inquiries, applying the appropriate econometric tools and identification strategies for observational data.

  • Oversee a team of econometricians, ensuring our approach remains both innovative and effective. 

  • Foster a culture of continuous learning and development within the team, mentoring staff and enhancing their analytical skills.

  • Drive the adoption of state-of-the-art analytical practices across cross-functional teams, enhancing our analytical capabilities and methodologies.

  • Directly embed and collaborate closely with clients to understand their needs and deliver actionable insights and strategies that maximize their marketing investments.

Professional Qualifications: 

  • Degree in statistics, data science, applied math, economics, or related field

  • Great foundations in probability theory and econometrics

  • 5-6 years of experience in applied data science

  • Significant practical experience with R/Python and SQL

  • Lots of hands-on experience with real-world, imperfect data, and a zeal for turning disorder into sensible order

  • Greater emphasis on: causal inference, especially experimental design, hypothesis testing, observational and quasi-experimental measurement techniques

  • Lesser emphasis on: big data, deep learning, artificial intelligence, etc.

  • A love of solving puzzles with data!

Compensation:

The annual base salary range for this role’s listed level is currently $160,000 - $170,000 plus performance bonus of 10%.  Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data. We will provide more information on our benefits and equity upon requests. Sales roles are also eligible for incentive pay targeted up to or over 100% of the offered base salary (no cap).  Disclosure as required by the Colorado Equal Pay for > Equal Work Act, C.R.S. § 8-5-101 et seq.

FLSA Classification: Exempt

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Benefits:

Unlimited PTO: At Tinuiti, we believe you deserve time to rest and enjoy life unplugged from your devices. When you take time for yourselves, you’re able to bring your best self to work. That’s why we prioritize flexibility, a fully remote environment, and offer unlimited paid time off.

Healthcare: Medical, Dental, Vision, Life & Disability, Flex Spending Accounts

Retirement: Match up to 4% of your contributions at 100% with immediate vesting

Perks and Wellness: Fringe, Forma, Thankful giving, Equity

Learning and Development: Mentor program and more

Disclaimer: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. Tinuiti is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Collaboration
  • Problem Solving
  • Analytical Skills

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