Be an early applicantLess than 25 applicants

Company

Original Job Post

Grammarly · 3 days ago

Manager, Data Science (Core)

Arizona, United States

Full-time

Hybrid

Senior Level

$285K/yr - $321K/yr

Wonder how qualified you are to the job?

Maximize your interview chances

Artificial Intelligence (AI)Copywriting

Comp. & Benefits

Hiring Manager

Haeley Girlich

Insider Connection @Grammarly

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Own the technical vision and direction for the data science team.

Act as a trustworthy data science thought partner to the Product team.

Dive deep into the data to become an expert on product offerings and AI technical infrastructure.

Evangelize metrics best practices and advocate for clear, useful North Star metrics.

Encourage rapid and frequent experimentation and develop processes for quicker impact.

Cultivate an ownership mindset and high performance standards within the team.

Set quality standards, mentor team members, and grow talent.

Collaborate with stakeholders to chart a clear path forward and communicate transparently.

Guide and coach the data science team with technical expertise in statistics, A/B testing, SQL, and Python or R.

Deep familiarity with product metrics, KPIs, and product development processes.

Proven track record of developing useful metrics and leading high-impact experiments.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Management experienceStatistics/B testingSQLPythonRProduct metricsKPIsProduct mindsetData intuitionProduct data analysisMetric developmentExperimentation mindsetExperiment designEthicalAdaptableGrittyEmpatheticRemarkableCollaborativeProactiveSelf-drivenProblem-solvingCommunicativeTransparentTrustworthyData-drivenDetail-orientedProduct RoadmapTech Company Experience

Required

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.

Inspired by our MOVE principles: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.

Is able to collaborate in person 4 weeks per quarter, traveling if necessary to the hub where the team is based.

Has at least 2+ years of management experience.

Has the ability and desire to operate in a fast-paced, dynamic environment where things change quickly.

Can wade through ambiguity and disagreement to chart a clear path forward and is highly skilled at bringing stakeholders together to reach alignment.

Has strong communication skills and can express a transparent, trustworthy, data-driven point of view with senior leaders.

Is a proactive and self-driven problem-solver who has independently spearheaded and driven complex, cross-functional projects to a successful outcome.

Has the technical skills necessary to guide and coach the data science team to deliver impactful and high-quality work (expertise in statistics, A/B testing, SQL, and Python or R are a must).

Has deep familiarity and experience with product metrics and KPIs, understanding how to measure the success of products at all stages of development.

Has a strong product mindset, understands how great products operate and are built, and has extensive experience working with PMs.

Has strong data intuition and detail orientation. Understands what to expect from product data. Can interpret and tease through complex data to find actionable insight. Skilled at spotting quality issues.

Has a proven track record of developing useful metrics that gained traction within an organization and led to tangible outcomes.

Has an experimentation mindset, adheres to experimentation best practices, and knows how to design and run high-impact experiments.