Unfortunately, this job posting is expired.
Don't worry, we can still help! Below, please find related information to help you with your job search.
Some similar recruitments
Data Scientist - Pricing Algorithms
Recruited by Lyft 8 months ago Address Toronto, Ontario, Canada
Catalyst Program, Data And Ai - Data And Ml Engineers
Recruited by Sanofi 8 months ago Address Toronto, Ontario, Canada
Catalyst Program - Data And Ai, Data Scientist
Recruited by Sanofi 8 months ago Address Toronto, Ontario, Canada
Catalyst Program - Data Scientist
Recruited by Sanofi 8 months ago Address Toronto, Ontario, Canada
Senior Product Manager, Retail Media Platform
Recruited by Loblaw Digital 8 months ago Address Toronto, Ontario, Canada
Senior Laboratory Scientist Jobs
Recruited by Shields Pharma Inc. 8 months ago Address Toronto, Ontario, Canada
(Global Oil & Gas) Data Scientist
Recruited by MatchaTalent 8 months ago Address Toronto, Ontario, Canada
Data Scientist, Commerce Platform
Recruited by Square 8 months ago Address Toronto, Ontario, Canada
Data Scientist, Decisions - Rider
Recruited by Lyft 8 months ago Address Toronto, Ontario, Canada
Data Scientist, Credit Risk
Recruited by Stripe 8 months ago Address Toronto, Ontario, Canada
Data Architect - Cid&A [Scotiabank]
Recruited by CareerBeacon 8 months ago Address Toronto, Ontario, Canada
Senior Data Scientist - Data Services
Recruited by MindGeek 8 months ago Address Toronto, Ontario, Canada
Senior Applied Research Scientist - Robotics And Deep Learning
Recruited by Harnham 8 months ago Address Toronto, Ontario, Canada
Senior Business Analyst, Data Integration & Performance Platform
Recruited by OMERS 8 months ago Address Toronto, Ontario, Canada
Data Scientist - Square For Franchises
Recruited by Square 8 months ago Address Toronto, Ontario, Canada
Data Scientist (Full Time) Canada
Recruited by Cisco 9 months ago Address Toronto, Ontario, Canada
Data Scientist / Analyst (Permanent)
Recruited by Babcock Canada Inc. 9 months ago Address Winnipeg, Manitoba, Canada
Data Scientist - Commercial Analytics
Recruited by Veeva Systems 9 months ago Address Toronto, Ontario, Canada
Data Scientist/Engineer - Python, Nlp, Ml
Recruited by Procom 9 months ago Address Toronto, Ontario, Canada
Data Scientist - Python
Recruited by Infotek Consulting Inc. 9 months ago Address Toronto, Ontario, Canada
Data Scientist Intern (Remote)
Recruited by Staffinggroup 9 months ago Address Toronto, Ontario, Canada
Lead Data Scientist (Deep Learning)
Recruited by Tiger Analytics 9 months ago Address Toronto, Ontario, Canada
Data Scientist (Co-Op) Canada
Recruited by Cisco 9 months ago Address Toronto, Ontario, Canada
Data Scientist, User Fraud
Recruited by Spotify 9 months ago Address Toronto, Ontario, Canada
Fraud Data Scientist Jobs
Recruited by Interac Corp. 9 months ago Address Toronto, Ontario, Canada
Data Architect/Engineer Jobs
Recruited by Clarity Hiring 9 months ago Address Toronto, Ontario, Canada
Team Lead, Data Platform Engineering
Recruited by Questrade Financial Group 9 months ago Address North York, Ontario, Canada
Manager Strategy And Data Scientist
Recruited by Scotiabank 9 months ago Address Toronto, Ontario, Canada
Data Scientist Ii Jobs
Recruited by Pinterest 9 months ago Address Toronto, Ontario, Canada
Senior Applied Research Scientist (Cv & Dl)
Recruited by Harnham 9 months ago Address Toronto, Ontario, Canada
Senior Data Scientist, New Initiatives
Recruited by Dropbox 9 months ago Address Toronto, Ontario, Canada
Data Scientist Architect Jobs
Recruited by Accelerize 360 9 months ago Address Toronto, Ontario, Canada
Data Scientist, Ai Jobs
Recruited by illumin (AcuityAds Inc.) 9 months ago Address Toronto, Ontario, Canada
Data Scientist - Generative Ai
Recruited by IBM 9 months ago Address Toronto, Ontario, Canada
Data Scientist (Optimization) Jobs
Recruited by Tiger Analytics 9 months ago Address Toronto, Ontario, Canada
Applied Scientist, Sponsored Products
Recruited by Amazon 9 months ago Address Toronto, Ontario, Canada

Senior Data Scientist, Experimentation Platform

Company

Grammarly

Address Toronto, Ontario, Canada
Employment type FULL_TIME
Salary
Category Technology, Information and Internet
Expires 2023-07-24
Posted at 11 months ago
Job Description
Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.


All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.


Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.


The opportunity


Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.


A Data Scientist In This Role Would


To achieve our ambitious goals, we’re looking for an experienced Data Scientist to own Grammarly's experimentation framework from the perspective of statistical testing and metrics. This role requires deep domain knowledge of statistical methods, experimentation best practices, experience developing experimentation platform tooling, and technical leadership skills.


  • Accelerate the cadence and quality of experiments.
  • Shape the roadmap and experimentation best practices for teams across Grammarly.
  • Advance our statistical rigor and methodologies.
  • Partner closely with Engineering to enable our ability to scale.


Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategies. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems and provide solutions with high visibility and impact for the company.


Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.


Your impact


As a Data Scientist In This Role, You Will


  • Take on a broad scope of work and an evolving role at a rapidly growing company.
  • Develop best practices for experimentation capabilities across the organization.
  • Opportunity-size new strategic levers.
  • Evaluate current experimentation practices across the organization and identify opportunities for improvement.
  • Collaborate with cross-functional teams, including engineering, product, and marketing, to define and track key performance indicators (KPIs) for experiments.
  • Conduct deep-dive analyses into user behavior.
  • Provide data-driven solutions to complex product and growth questions.
  • Drive direction on the Product and Growth teams.
  • Conduct literature reviews and share best practices with the organization, providing guidance and support for stakeholders involved in experimentation design and review


We’re Looking For Someone Who


  • Has experience as an influential and effective thought partner to product teams.
  • Has practical experience in data analysis, statistics, and experimentation.
  • Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
  • Has experience helping others understand numbers.
  • Has 5+ years of relevant work experience.
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is proficient in SQL, Python, R, Scala, or an equivalent language.
  • Holds a PhD or master’s degree in a quantitative field.
  • Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
  • Demonstrates strong communication, proactiveness, creativity, and prioritization skills.


Support for you, professionally and personally


  • A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
  • Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We support professional development and advancement with training, coaching, and regular feedback.


Compensation And Benefits


Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:


  • Admission discounts
  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
  • Caregiver and pet care stipends
  • Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
  • Wellness stipends
  • Home office stipends
  • Learning and development opportunities
  • Disability and life insurance options
  • Paid parental leave
  • 401(k) and RRSP matching


Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.


Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.


United States


Zone 1: $226,000 – $281,000/year (USD)


Zone 2: $203,000 – $253,000/year (USD)


Zone 3: $192,000 – $239,000/year (USD)


Zone 4: $181,000 – $225,000/year (USD)


We encourage you to apply


At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).


Please note that EEOC is optional and specific to US-based candidates.


#NA


All team members meeting in person for official Grammarly business or working from a hub location are strongly encouraged to be vaccinated against COVID-19.