Go-To-Market Operations Data Scientist

New York City

Applications have closed

Algolia

Enterprises and developers use Algolia’s AI search infrastructure to understand users and show them what they’re looking for.

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The Analytics team works as a global strategic task force within GTM Operations. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our Go-To-Market team.

About the GTM Operations team:

GTM Operations at Algolia consists of Marketing Operations, Sales Operations, Customer Success Operations, and Partner Operations. We own all systems, processes, and data that enables our cross-functional teams to be productive and successful.

YOUR ROLE WILL CONSIST OF:

  • Understand Algolia’s business, identify strategic insights, inform leadership, and recommend execution plans against analytical insights
  • Partner with Marketing and Sales leadership to set strategy and priorities for projects
  • Create a roadmap to help meet Algolia’s business objectives
  • Foster a data driven culture by elevating metrics reporting and understanding
  • Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
  • Build account scoring 
  • Deliver hands on for highly visible ad hoc projects and requests

YOU MIGHT BE A FIT IF YOU HAVE:

  • At least 7 years professional experience, including 3+ years of data science & analytics experience, preferably in a similar role at a B2B SaaS company 
  • Hands-on experience in statistics, machine learning languages (e.g., Python and R) and BI tools (e.g., Tableau)
  • Ability to build compelling presentations from data that summarizes complicated data and insights.
  • Experience with Agile development.  Experience with Jira a plus.
  • Undergraduate or Graduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience.
  • Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $50-200M ARR range, high growth, lots of change and building internal infrastructure).

WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:

  • GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.
  • TRUST - Willingness to trust our co-workers and to take ownership.
  • CANDOR - Ability to receive and give constructive feedback.
  • CARE - Genuine care about other team members, our clients and the decisions we make in the company.
  • HUMILITY - Aptitude for learning from others, putting ego aside.
#LI-Hybrid #LI-Remote  

 

REMOTE STRATEGY:

Algolia’s workplace strategy, Hybrid Remote, is designed to harness the power of the opportunities that remote work offers both employees and the company, while also providing an engaging in-office experience for the times when an employee is in an office. Our workplace approach reflects the belief that an employee’s impact, contribution, and output are more important than their physical location.

The majority of employees will be able to choose if, and when, they come into an office on a regular basis. There will be times when our people are asked to come into an office for “moments that matter:” activities like critical planning meetings and team social gatherings.  Beyond those events, 80% of our workforce may choose the location from where they work in the country in which they were hired.

We have physical offices in San Francisco, NYC, Atlanta, Paris, London, Bucharest, and we will be opening a small office in Austin soon. https://www.algolia.com/about/

ABOUT US:

Millions of developers around the world use Algolia to unleash the power of search across their digital properties. They use Algolia because we are API-first. We unlock incredible flexibility. We build blazing fast speed into our APIs. We do this because we know developers want to build cool things and innovate. Under Armour, Lacoste, Birchbox, Stripe, Slack, Medium, Zendesk and 10,000+ other companies use Algolia to build not just great search, but search that converts at higher rates because of the relevancy. We help their customers find the right goods, offers, and content really quickly. So quickly, in fact, that they don’t go anywhere else. Algolia helps businesses build and optimize the search and discovery experience resulting in significantly enhanced online engagement, increased conversion rates and enriched lifetime value that generates profitable growth. Today, Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined. Our amazing technology is used by one in eight online users.

Founded in 2012, we're backed by $184M in funding from Accel Partners, Alven, DAG Ventures, Founders Circle, Owl Rock Capital, Point Nine Capital, SaaStr Fund, Salesforce Ventures, Storm Ventures and World Innovation Lab. The team is headquartered in San Francisco with offices in Paris, London, Tokyo, New York, and Atlanta. To learn more, visit www.algolia.com.

WHO WE'RE LOOKING FOR:

We’re looking for talented, passionate people to build the world’s best search & discovery technology. As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background.

READY TO APPLY?

If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile APIs Economics Jira Machine Learning Mathematics Python R Statistics Tableau

Perks/benefits: Career development Startup environment Team events

Region: North America
Country: United States
Job stats:  6  1  0
Category: Data Science Jobs

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