Position: Middle Data (Python) Scientist (work in Warsaw/Poland)
Company: Skillreveal
Experience required: 3y
English level: upper

**About the Company**
The Company is an analytics-first media consultancy and top-rated Google Marketing Platform, Google Cloud Platform, The Trade Desk, Amazon AWS partner, and reseller that provides strategy, insights, execution, and optimization of customer data to improve digital media ROI. We do not operate like other digital agencies as we help our clients achieve their goals in Digital Marketing through the power of white-glove, data-driven service.

The Company is a fast-paced company with high-profile customers across the USA and EU. Among our key clients are UNICEF, Wynn, Virgin, Gerber Life, ALG, and AT&T.
We are overgrowing and we look for a strong Team Player who is a no-stranger to fast-paced projects. Our values & behaviors are essential to us in our daily work. You will definitely hear about the fire in the belly, growth mindset, comfort zone, and focus from the first meeting with us.

The Company is headquartered in Boulder, Colorado, with offices in New York, Warsaw.

**The objective of the Role:**
This position will challenge you to deliver intelligent machine learning-driven marketing insights, predictions, and recommendations in a consultant-client setting. Using your creativity, technical programming skills, and passion for problem-solving, you will develop and deploy cloud-based data science solutions to solve real-world marketing business problems. The successful Data Scientist will be an independent self-starter comfortable with ambiguity and able to transform vague client business problems into tangible machine learning projects aimed at delivering measurable economic value.

You should exhibit an entrepreneurial spirit and enjoy tackling quantitative problems that most other people cannot solve. You are the kind of person that enjoys figuring out ways to use programming to automate manual tasks and optimize decision-making. You also love “geeking out” and discussing different approaches and theories to solving problems with machine learning. You are curious and have a passion for knowledge discovery using data! 

**Principal Duties**
- Development, optimization, and evaluation of ML models and algorithms.
- Technological review of data science solutions and communication to non-technical stakeholders.
- Proactive identification of opportunities for potential AI products.
- Effective collaboration with product managers, software and data engineers to design scalable state-of-the-art ML models.
- Uncover patterns in data that drive optimization of the media budgets


**Qualifications & Skills:**
- Advanced level proficiency with Python or similar programming languages (R, SAS, etc.) as well as advanced knowledge and proficiency with SQL.
- Competence in data cleansing, transformation, and model feature creation/ abstraction/ selection specifically for machine learning. Deep understanding of the pros and cons of various data science approaches/methodologies and proven ability to select the best approach for any given problem (supervised vs unsupervised learning, regression vs classification, etc).
- Experience creating data pipelines and developing/deploying machine learning models in a business setting.
- Demonstrated experience communicating the results of complex business intelligence or data science projects to non-technical business stakeholders in the form of visually appealing and coherent slide decks.and the ability to communicate complex topics in simple terms
- A flexible mindset that is energized, not frustrated by the messiness common to rapidly growing organizations.


**Preferred Qualifications:**
- Previous experience in Digital Marketing
- Previous experience with Cloud Computing
- Moderate competency with at least 1 BI visualization platform (Tableau, Power BI, Google Data Studio, Looker).


**What The Company Offers:**
- Ownership of your work, responsibility to make things happen, and the opportunity to make a real difference.
- An opportunity to join a fast-paced and exciting global business in the data science/ad-tech sector.
- A culture that emphasizes honesty, collaboration, growth, and personal responsibility.
- A competitive salary and opportunities to grow while working for one of the most advanced advertising consultancies in the region.
- A promotion from within the culture and the chance to define your career growth.
- Private health insurance, sports benefit card and additional paid week off between Christmas Eve & New Years Day (on top of regular holidays).
- Short Fridays (6h) and Summer Fridays (4h)!
- Generous employee referral bonus.
- An education budget.
- A hybrid work.