Job Overview As a Data Scientist, you are a critical member of our Machine Learning & Decision Automation capability. Working from Fast Prototype through to the full CRISP-DM delivery approach, you independently solve large, complex business problems using Algorithms, Advanced Analysis, Machine Learning, Neural Nets and Artificial Intelligence.
As one of our leading thinkers in Data & Analytics, you will share your knowledge & expertise with others across the organization and work with some of our most senior stakeholders.
What you'll do Combine your domain knowledge, experience of quantitative and statistical methods as well as expertise in Data warehousing and Data engineering to deliver compelling outputs that clients understand.
Be a driven learner, capable of identifying your own areas of self-development and then leveraging the team's expertise to build your Data Science knowledge and skills.
Be a patient & capable teacher & leader, able to effectively negotiate complex projects and deliver significant outcomes for senior, and potentially difficult, clients.
Understand and solve complex business problems – across product features, player behavior, available data sets & client personalities.
Use a combination of web metrics, customer data, financial reporting and third-party research data in your work, sometimes having to build your own integrations to get access.
Experiment with different approaches to solving business problems, using a wide variety of techniques (everything from linear regression to deep learning) and implementation technologies from R & Python to deep learners, neural nets, and big data ML libraries such as Spark.
Show a high level of self-direction – you are responsible for your own backlog quality, and will need to manage your own day-to-day tasks with alacrity.
Perform deep statistical analysis to validate report findings and test hypotheses from business stakeholders.
Proactively structure analyses from hypothesis development to modelling to support business decisions.
Ensure that our stakeholders become 'data driven' and that Sr. business leaders are able to harness Machine Learning in their decisions and the products that they create.
Present work back to senior stakeholders, and translate complex problems & esoteric technical solutions for a business audience.
Work closely with the entire Analytics department to construct, manage and maintain a project priority list, and a repository of completed work to be shared with key partners in the organization.
Working with other business units and stakeholders across the organization, you will combine data sources to create an environment for testing ad-hoc, complex and ambiguous data sets to model various business outcomes.
What you'll bring Personable character and a good communicator – ability to communicate complex, technical concepts to non-technical staff.
Self-motivated – you will find your own ways to solve a wide variety of problems.
Proficiency in manipulating structured and unstructured data in relational, non-relational, and graph databases, along with excellent data manipulation skills across various big data environments.
Solid experience with scripting language (Python preferred) and willingness to keep up to speed with the latest Data Science tools, technology and theory.
Experience on Kubeflow as a production delivery platform.
Proven experience in training & executing machine learning and artificial intelligence.
Experience in Business Intelligence, reporting & visualization tools (i.e. Tableau, Power BI, QlikView, etc.).
Experience in multi-channel analytics, including web analytics.
Degree educated, preferably in a statistical / mathematical subject (Mathematics, Statistics, Engineering or Operations Research).
Experience and/or interest in Casino games, Poker, Sports betting and Horse Racing is an asset.
Proven expertise in the construction, training & maintenance of complex Machine Learning models that test business outcomes, automate decisions, and deliver actionable findings to the business.
A complete understanding of the ML lifecycle, with proven experience in every step from data evaluation to production deployment, maintenance & retraining.
What's in it for you Private life and health insurance for you and your family.
Four weeks per year to work from anywhere for eligible employees.
Gym reimbursement.
Company bus lines for convenient transportation applicable for employees based in Malaga.
Relocation package for you and your family including soft-landing package services to help you settle in (applicable for relocation to Malaga, if you are moving from a different city/country).
Learning Pocket for personal development.
A hybrid working model with flexible hours.
3 volunteering paid days each year.
Generous referral programme.
Workplace perks such as gaming room with darts, pool, ping pong table, foosball, consoles and much more! We also enjoy massages and a kitchen stocked with coffee, fruits, nuts and ice cream.
Our Beliefs and Commitment to You! We value creativity and innovation from our diverse team. The Workshop welcomes candidates of all genders, orientations, disabilities, races, ages, nationalities, and beliefs. Great ideas come from great people who thrive on being empowered to improve our products and processes!
Our DNA We live by the motto "Experience First" for our customers, players, and employees. With 550 employees from 40 nationalities speaking nearly 30 languages, our offices in Málaga, Madrid, Auckland, and London focus on collaboration, knowledge-sharing, and well-being initiatives.
Our Culture: At The Workshop, we foster an inclusive and multicultural environment where diversity is celebrated. As an Inventor, you will thrive in an environment led by:
Global Innovation: Join a dynamic company pioneering cutting-edge technology worldwide with an environment that encourages new ideas and continuous growth.
Personal Growth: Explore new opportunities through internal mobility programs.
Well-being Support: Benefit from initiatives promoting work-life balance and personal development.
Community Impact: Influence the tech community inside and outside of The Workshop and mentor others as we shape the future together.
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