Position: Principal Data Scientist
Company: ScrumLaunch
Experience required: 5y
English level: fluent

**Our mission is to make it easier for sports teams to make data-driven decisions. Our easy-to-use AI Cloud application supports talent identification and development, tactics, and player health & performance.
We are seeking a highly skilled and experienced Principal Data Scientist to join our team and play a critical role in driving the strategic direction of our data services operation. The ideal candidate will possess strong technical expertise in data science and data pipelining, along with a deep understanding of the sports industry. Reporting to the CTO (or interim product/CEO), this individual will build bespoke data science projects, lead and manage a team of data scientists and engineers, and collaborate closely with other departments to provide technical thought leadership and support.**

🔴Work hours: 8-5 pm EST🔴

- **Minimum Qualifications**
**1. Technical Expertise:** 
- Strong background in data science and data pipelining, with a demonstrated ability to architect and execute complex data projects.
- Proficiency in relevant programming languages (e.g., Python, R) and data manipulation tools.
- Previous experience with sports data and analytics, ideally across multiple sports.
- Experience with tools such as Data Robot, Data Bricks, and/or Snowflake are a bonus.

**2. Leadership, Communication, and Personality:**
- Proven track record of leading and managing data science teams, providing mentorship and guidance.
- Outstanding interpersonal and communication skills to effectively collaborate with cross-functional teams and customers.
- Strong tolerance for pivots and changing responsibilities. Willingness to roll up sleeves and be helpful wherever benefits the business. Intrinsically motivated, curious, and energetic.

**3. Strategic Thinking:**
- Ability to envision and articulate the strategic direction of data services within the company. 
- Capable of guiding project prioritization and aligning data initiatives with business objectives.

**4. Customer Focus:**
- Experience working directly with commercial customers or stakeholders, tailoring data solutions to meet their unique needs.
- Ability to provide technical support and insights during customer interactions.

**1. Strategic Direction and Project Management:**
- Provide strategic guidance on project prioritization and development plans.
- Lead the development and execution of data science initiatives aligned with company goals.

**2. Customer and Team Engagement:**
- Collaborate with high-leverage customers to design and implement data science projects within the GSA web application.
- Offer technical expertise and support to junior Data Science and Engineering team members.
- Develop and showcase high-impact projects to demonstrate GSA product value and drive commercial development.
- Assist the sales team with technical insights during advanced calls with prospects.

**3. Scalability and Documentation:**
- Enhance system scalability by identifying opportunities to extend services to new customers.
- Create comprehensive technical documentation to ensure smooth onboarding and usage.
- Gain an in-depth technical understanding of our platform and architecture.

**4. Product Collaboration:**
- Collaborate closely with the product team to provide feedback on tooling enhancements to enhance customer experience.

✅**We offer:**

—📈 Opportunity to grow as an expert;
— 🖇️Flexible working conditions;
—🏝️ 12 days of paid vacation;
— 🤒5 sick days;
— 🦁Office in the city center;
— 👨‍👩‍👧Friendly and open-minded team;
— 🇬🇧English classes;