Senior Data Scientist – FULL REMOTE EUROPE

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Senior Data Scientist – FULL REMOTE EUROPE

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???? About us:

BOOM ( is a hyper-growing technology start-up that created an automated end-to-end platform to produce and manage visual assets worldwide, leveraging cutting-edge integration services.

BOOM is vibrant and collaborative. We encourage an environment where people can express themselves and work in a way which suits their life and needs. We fit best with people that are driven and motivated. BOOM is truly international, with outstanding talents from different cultures and backgrounds. Our team relies on differences and celebrates them as our power.

Go through our tech blog here

Read more about our culture and values here

????????♂️ What we offer:

  • Quarterly Team retreats
  • Extra days off
  • Flexible working hours
  • Leading-edge equipment: MacBook Pro 16”
  • Dedicated learning time off
  • Diversity, Equity and Inclusion dedicated team
  • Full remote working and great headquarters in the heart of Milan

???? About the job:

As Senior Data Scientist at BOOM you will lead the exploration, visualization, analysis and augmentation of data related to visual content. Your work will set the foundation of our customer facing analytics platform.

You will be partnering directly with the Product Management, Data and Engineering team, with the ability to contribute to the product strategy, justifying your decisions and plans.

You will be a key part of a talented and successful Data team that works together to identify smart solutions for the rapid and consistent growth of our products.

???? Here’s what you will take care of:

  • Design the statistical model at the heart of our new products. Identify priorities for the possible analysis of visual content we could implement
  • Carry out hypothesis formulation and hypothesis testing. Use large data sets to find opportunities for our customers and use models to test the effectiveness of different courses of action
  • Analyze data from multiple sources, including customer websites
  • Build predictive and recommendation models using a variety of data mining methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations
  • Develop A/B testing framework and test model quality
  • Contribute to the data architecture definition and implementation
  • Stay up to date with the research and the state of the art related to Machine Learning and Deep Learning algorithms, techniques, and frameworks
  • Foster an environment that is customer-focused, data-driven, and experimentation based

???? Who are we looking for:

A proactive, accountable and teamwork-ready professionals, with proven successful experience in the same role.

  • In-depth knowledge of advanced statistical techniques, data mining and machine learning foundations
  • Proven experience with a variety of machine learning techniques and their real-world advantages/drawbacks
  • Strong experience using statistical computer languages (R, Python, SQL) to manipulate data and draw insights from large data sets
  • Strong experience manipulating data sets and building statistical models
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc

???? It would be great if you:

  • Have already worked with image processing
  • Have a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
  • Have experience working with and creating cloud data architectures
  • Have experience working with cloud services

???? The team:

You can count on a very open and collaborative Engineering team, share your experience in our Data Community and work side by side with Product Manager, UX Designer, Frontend and DevOps Engineers in Pods to quickly deliver value to our users.

???? Recruiting Steps:

  • Discover more about the company, the position, benefits and compensation package with our Recruiter
  • Deep-dive the opportunity with our Head of Engineering
  • Enjoy a discussion with the team

BOOM is an equal opportunity workplace committed to providing a work environment that values the benefits and strengths that diversity brings to our employees.

We do not discriminate in employment opportunities on the basis of age, ancestry, citizenship, colour, disability, ethnicity, family or marital status, gender identity or expression, national origin, political affiliation, race, religion, sex, sexual orientation, veteran status, or any other legally protected characteristic.

If you have a disability or special need that requires accommodation, please let us know.

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