Senior Data Scientist, Workfully
Sports Betting
More information about location
Decentralized hiring ecosystem
Open for applications
Decentralized hiring ecosystem
1-20 employees
Open for applications
More information about location
1-20 employees
Company mission
To create the most trusted recruitment experience in the world.
Role
Who you are
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree or relevant certification is a plus
- Proven experience as a Data Scientist or similar role, with a strong portfolio showcasing your work
- Proficiency in programming languages such as Python, with experience in data analysis libraries such as Pandas, NumPy, and SciPy
- Experience with database technologies including MongoDB and SQL, with the ability to write complex queries and perform data manipulation and analysis
- Strong understanding of statistical analysis, machine learning, and data mining techniques, with hands-on experience applying these methods to solve real-world problems
- Knowledge of data visualization tools such as Matplotlib, Seaborn, or Tableau, with the ability to communicate complex insights effectively
- Experience working with large datasets and distributed computing frameworks such as Apache Spark or Hadoop is a plus
- Strong problem-solving skills and analytical thinking, with the ability to interpret data, identify trends, and draw actionable insights
- Effective communication and collaboration skills, with the ability to work cross-functionally with stakeholders to understand business requirements and deliver solutions
- Passion for continuous learning and self-improvement, with a curiosity to explore new tools, technologies, and methodologies in the field of data science
What the job involves
- As a Senior Data Scientist specializing in sports betting analytics, you'll be responsible for leveraging statistical analysis, machine learning techniques, and predictive modeling to extract insights from large datasets and improve the accuracy of betting odds and outcomes
- Your expertise in data analysis and modeling will play a critical role in enhancing our platform's capabilities and providing a competitive edge in the industry
- Analyze large datasets to identify trends, patterns, and correlations related to sports events, betting markets, and customer behavior
- Develop predictive models and algorithms to forecast sports outcomes, optimize betting odds, and inform trading strategies
- Collaborate with cross-functional teams including product, engineering, and business development to integrate predictive models into our platform and products
- Conduct exploratory data analysis to uncover actionable insights and opportunities for optimization across various aspects of the sports betting ecosystem
- Design and implement experiments to test hypotheses and evaluate the performance of predictive models, iterating based on results and feedback
- Stay abreast of advancements in data science, machine learning, and sports analytics research, incorporating new methodologies and techniques into our analytics toolkit
- Communicate findings and recommendations to stakeholders clearly and concisely, both verbally and through data visualization techniques
Our take
In an industry dominated by traditional recruiting agencies, Workfully looks to stand out by supplying a decentralized recruitment and upskilling marketplace. The idea is to enable recruiters to act as their own agency, tailoring the recruitment process so that they can attract, hire, train and coach the talent they specifically need.
Workfully provides two products, "Hiring" and "HireSkilling". The Hiring service depends upon the company's network of Talent Partners, and can be deployed in-house or externally, or clients can opt for the "Executive" version designed to help bolster their C-suite. HireSkilling, meanwhile, allows users to seamlessly hire and upskill talent in one program, essentially creating the talent they need and may have been struggling to source.
Having secured a promising seed round in 2023, Workfully is looking to both expand its team and grow its product offering. With the recruiting service industry worth around $700 billion, and ripe for innovation, there is certainly an opportunity for the company to find success.
Kirsty
Company Specialist
Insights
Few candidates hear
back within 2 weeks
Company
Funding (1 round)
Oct 2023
$1.4m
SEED
Total funding: $1.4m
Company benefits
- Remote possibilities
- Stock options
- Join an early start-up
Company values
- 🏔️ Embrace the adventure - Embrace where we are, no matter the challenges. Always find excitement and growth
- 🤝Trust by default - Gain trust through respect and transparency
- 📈 Constantly move the needle - Move fast and focus on what matters
- 🎁 Give first - Giving is the best way of gaining
Company HQ
Sant Pere, Santa Caterina i la Ribera, Barcelona, Spain
Articles
Leadership
Stefano Tacconi
(Co-founder)Former Sales Insights Analyst (EMEA) at Autodesk, Account Manager at Google, and Sales Coordinator (Italy) at EF Education First.
Valerio Rossi
(CEO & Co-founder)Former Global Talent Acquisition Manager at Atlas and ALEA. Previous IT Recruitment Consultant at Spring Spain and Senior Technical Recruiter (EMEA) at Amaris.
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