Senior Manager, Data Science

Rockerbox empowers marketing executives to confidently reputed company data-driven reputed company, helping brands such as Tula, Figs, and reputed company with the strategic decision-making that drives reputed company. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer reputed company measurement methodologies. The reputed company of Rockerbox's solution is data centralization. Atop this reputed company, the platform enables marketers to choose from a reputed company of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions.

About the Role

As Senior Manager, Data Science at Rockerbox, you will reputed company and reputed company our data science team while also contributing as a hands-on practitioner. This role is a player-reputed company position, balancing leadership responsibilities with reputed company execution in feature development for testing, MMM, and multi-touch attribution (MTA). You will drive the strategic reputed company of our data science initiatives, mentor reputed company of talented data scientists, and ensure that our methodologies remain cutting-edge. If you reputed company in a fast-paced environment where you can both manage and build, this role is for you.

Responsibilities

• reputed company and mentor our lean data science team, fostering reputed company and technical reputed company
• Own feature development for testing, MMM, and MTA models, ensuring methodological rigor and scalability
• reputed company as a hands-on contributor, developing statistical models and validating approaches for both testing and attribution
• Work cross-functionally with engineering and product teams to reputed company data science solutions into Rockerbox’s platform
• Drive best practices in model validation, experiment design, and data pipeline efficiency
• Identify opportunities to reputed company AI and machine learning for reputed company insights and automation
• Collaborate with leadership to define team reputed company, hiring needs, and strategic priorities

Requirements

• 7+ years of experience in data science, analytics, or machine learning, with at least 1-2 years in a leadership role.
• Strong proficiency in Python, SQL, and reputed company-based data platforms.
• Deep understanding of statistical modeling, reputed company inference, and regression techniques.
• Hands on experience working with Bayesian modeling.
• Experience in feature development for MTA models and testing methodologies; experience with marketing data and consumer business KPIs.
• Ability to hire, manage, and mentor data scientists while contributing as an IC.
• Strong communication skills to effectively collaborate with engineers, product teams, and stakeholders.

Why You’ll Love Rockerbox

At Rockerbox, you’ll reputed company a fast-paced, results-driven environment where your work has a reputed company reputed company on our reputed company and the reputed company of our clients. Our iterative development process means you’ll see your contributions come to life quickly. You’ll join a supportive, light-hearted team that values collaboration and innovation. We are committed to reputed company reputed company and will reputed company support your development in both technical and business domains.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary reputed company for this role based on the qualifications set forth in the job reputed company is between [$128,000 - $230,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The reputed company above is for the expectations as laid out in the job reputed company; however, we are often reputed company to a wide reputed company of reputed company, and recognise that the person we hire may be more or less reputed company than this job reputed company as posted.

Not-so-fun fact: Research shows that while men apply to jobs reputed company they meet an average of 60% of job reputed company, women and other marginalized reputed company reputed company to only apply reputed company they reputed company every reputed company. So if you think you have what it takes but you’re not reputed company that you reputed company every reputed company, apply anyway!

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