Senior Data Scientist

3 Minutes ago โ€ข 6 Years +

Job Summary

Job Description

The Senior Data Scientist will be responsible for developing and deploying machine learning models to drive business value and improve user experience. They will lead data science projects from start to finish, establish best practices, and identify data-driven solutions. This role involves designing and optimizing predictive analytics, collaborating with engineers, and communicating findings to both technical and non-technical audiences. The ideal candidate should be able to work independently and proactively.
Must have:
  • 6+ years of business experience in data science.
  • Proven experience deploying machine learning models.
  • Strong project management skills.
  • Deep understanding of data science methodologies.
  • Excellent Python and SQL skills.
  • Strong communication skills.
Good to have:
  • Experience working in SaaS.
  • Experience with building and deploying LLMs.
Perks:
  • RSUs grant in a rapidly growing company.
  • Annual bonus.
  • Multinational team.
  • Learning & Development plan.
  • Company Impact Days.
  • Notebook/Macbook and 34โ€™โ€™ curved monitor.
  • 25 days of vacation, 4 sick days.
  • 10 care days.
  • Extra parental vacation.
  • RSUs grant for a newborn child.
  • Life insurance.
  • Gympass.
  • Meal and transportation tickets, medical insurance.
  • Team buildings, parties, and company events.
  • Flexible working hours + home office.

Job Details

Responsibilities:

  • Develop and deploy machine learning models that drive business value and enhance user experience.
  • Lead end-to-end data science projects, from scoping and exploration to implementation and monitoring.
  • Build and shape the data science discipline within Make, defining best practices, methodologies, and tools.
  • Identify opportunities for data-driven solutions by working closely with stakeholders across the company.
  • Design, implement, and optimize predictive and prescriptive analytics to support business decisions.
  • Collaborate with data engineers and analysts to ensure data quality, accessibility, and efficiency in model deployment.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences.
  • Drive innovation in automation and AI applications, leveraging Makeโ€™s platform capabilities.

What we expect:

  • 6+ years of business experience in data science, analytics, or machine learning roles.
  • Proven experience deploying machine learning models in a business environment, with a focus on impact and scalability.
  • Strong project management skills, with the ability to manage multiple data science projects from inception to delivery.
  • Deep understanding of data science methodologies and business problem-solving, including statistical modeling, predictive analytics, and experimentation.
  • Excellent Python and SQL skills, with experience using ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data visualization tools.
  • Ability to operate independently and proactively, with a strong sense of ownership and initiative.
  • Strong communication skills, with the ability to translate complex data insights into actionable recommendations for non-technical stakeholders
  • Experience working in SaaS or with building and deploying LLMs a plus.
  • Fluent verbal & written Englishย 

What we offer:

  • ๐Ÿ“ˆ RSUs grant in a rapidly growing company raising its value every day
  • ๐Ÿ’ธ Annual bonus
  • ๐ŸŒŽ Multinational team with 42 nationalities creating the future of automation
  • ๐ŸŽ“ Learning & Development plan (online language, professional courses, conference tickets and other trainings) & 2 Company Learning Days per yearย 
  • ๐ŸŒณ3 Company Impact Days per year
  • ๐ŸŽ Notebook/Macbook and 34โ€™โ€™ curved monitor
  • ๐Ÿ 25 days of vacation, 4 sick days
  • ๐Ÿซถ 10 care days to care for your loved ones
  • ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ Extra parental vacation (3-6 months)ย 
  • ๐Ÿ‘ถ RSUs grant for a newborn child
  • โ˜‚๏ธ Life insurance
  • ๐Ÿ‹๏ธ Gympass
  • ๐Ÿ’ณ Meal and transportation tickets, medical insurance
  • ๐Ÿฅณ Team buildings, parties, and company events multiple times a year
  • ๐Ÿก Flexible working hours + home office

If you see a match, let us know and apply now!

#careeratmake

What we stand for:

๐Ÿค We roll together - We embrace different ideas to grow together and create powerful solutions.ย 

๐Ÿš€ Customer impact first - We empower our customers to succeed, aiming for sustainable impact.

โšฝ Game on! - We're explorers at heart: play is our fuel and creativity has no limits.ย 

For more, feel free to check out our Life at Make Instagram, Meet-up page, or YouTube to get a sense of the vibe.

Find us on Glassdoor.

Make is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind. We make all employment decisions without regard to race/ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws. ย As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations. ย Different makes us better.

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About The Company

Make is a visual platform for anyone to design, build, and automate anything. Headquartered in Prague since its release in 2016, Make was acquired by Celonis in 2020, and currently operates as an independent business unit under the Celonis umbrella. As we continue to grow, we look forward to hiring the best talent from all over the globe for all our areas and departments.

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