What are we looking for?

We are looking for people who look at the world differently, who explore, analyze and lead the solution they envision. You are a great fit if: you are passionate about making sense of huge amounts of data, enabling critical decisions, and creating new ways to look at and drive all aspects of a rapidly growing business (post-IPO in hypergrowth mode) through data insights.

If you are a data scientist that loves making sense out of large amounts of otherwise disconnected data, applying data algorithms, has expertise in statistical learning, and has enabled predictive machine learning features and models, then join the organization that is driving and delivering the company’s data-driven strategy. We believe in data strategy that enables fast-term value, medium-term competitive advantage, and long-term incremental business growth.

This is a highly-visible role, where you will be reporting directly to the VP of Data, Analytics & Governance, interacting with the leadership, enabling critical business decisions, creating a tangible value of millions of USD through data and a competitive advantage for the company. By accepting this challenge, you'll be able to create some massive deliverables, valuable both for your further career development at SentinelOne as well as an impressive resume on the global market overall.

What will you do?

• You will be a contributing member of our Data, Analytics & Governance group of 9, made up of experts in analytics, data architecture, infrastructure management, pipeline development & optimization, reporting & visualization, and data governance & management practices.
• You will be responsible for taking a significant role in generating advanced data insights and developing data features and predictive models that apply to various areas across SentinelOne’s business.
• Mine and analyze data to drive optimization and improvement of marketing strategies & tactics, suggest improved revenue opportunities, and determine KPIs that have the greatest correlation to company success.
• Assess the effectiveness and accuracy of data from new internal and external or third-party sources.
• Implement and improve testing capabilities that verify results and monitor business outcomes from models in test and production.
• As a Staff Data Scientist / Techlead - you'd be also technically leading other data scientists in the group.

What skills and knowledge should you bring?

• Degree in Computer Science / SW Engineering or equivalent.
• Several years of experience in Analytics and Inference Data Science disciplines.
• Experience with SQL, Python, and the most common data science toolkits (Google Vertex is a significant plus), data management principles & tools.
• Must have - handson experience with GCP and Google's data ecosystem (Datastore, BigQuery etc.).
• Working experience or familiarity with business intelligence tools (i.e., Tableau, Data Studio, Looker) and knowledge of how to visualize data effectively for a given study or project.
• Working knowledge of machine learning and artificial intelligence; knowledge of a variety of ML techniques (clustering, decision tree learning, etc.) and their real-world advantages/drawbacks; as well as advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with applications.
• Expertise in exploratory data analysis.
• Excellent analytical and problem-solving capabilities.
• Ability to operate in a team, both independently and with others from different backgrounds and geographies - sometimes leading and sometimes following.
• Focusing on even the slightest of details without becoming all-consumed.
• Very strong communication skills, verbal and written in English language, incl. excellent ability and commitment to writing technical documents.

Why us?

• Flexible working hours, In Prague & nearby we're working in a hybrid model with offices in Karlin (brand new Missouri Park), remotely in the rest of CZ or SK, with optional Brno offices (Clubco Vlněna) for those who like to meet
• Generous employee stock plan in the form of RSUs (restricted stock units) grant not options; 4 years vesting with 1-year cliff and then quarterly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• Flexible Time Off (on top of the standard 5 weeks of vacation)
• Flexible Paid Sick Days
• Fully Paid Short Term Sick/Short Term Nursing Leave
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Pension insurance contribution
• Premium Life Insurance covered by S1
• Monthly Meal & Wellbeing Allowance
• Private medical care membership for you and your +1
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters), Wellness Coach:Mind Body Sleep app company access (sessions, audiobooks, classes, private coaching etc.)
• High-end MacBook or Windows laptop, Home-office-setup gear & on top of that additional WFH Allowance
• Udemy Business platform for Hard/Soft skills Training, internal mentoring 'MentorOne' & Support for your further educational activities/trainings
• Above-standard referral bonus
• On top of RSUs, you can benefit also from our attractive ESPP (employee stock purchase plan)
• Refreshments and snacks at the offices
• Optional company events for those who like to meet outside of work too (sport, BBQ, charity etc.)
• DEI&B programs that promote employee resource groups like SentinelWIN (Women Inclusion Network), Blk@S1, Latinos@S1, Pan-Asian@S1, Out@S1 (LGBTQIA+) and Sentinels Who Served