About Xcelirate
We like to think of ourselves as unapologetic tech innovators; this means we only build products we can be proud of. Beauty is skin deep, but we know looks aren’t everything. We love a tight...security protocol, low latency and a banging user experience. The future of online entertainment cannot come soon enough we want to Xcelirate it. We have grown into a community of diverse nationalities, perspectives and skill sets. You’ll be part of an energetic, motivated team that hails from all corners of the world. We work hard; we play just as hard. Xcelirate is aggressively expanding (size matters, only because we dream big) and looking for bright candidates to join us. If you’ve got what it takes, we’d love to hear from you.
Your Work-life opportunity
As Sr. Data Scientist at Xcelirate, you will develop and follow up data products through their entire lifecycle, elevating our analytics and reporting capabilities while being a key element in helping define strategies and actions for the business.
You will be part of a team where you will:
- Build, deploy and maintain state-of-the-art machine learning algorithms for various use cases such as segmentation, churn prediction, demand forecasting, fraud prevention, and anomaly detection among others.
- Understand our stakeholders and act as a link between business and analytics requirements. Be able to translate their needs into actionable to help them understand the past and predict future behavior.
- Use large data sets to train and identify key insights that influence product improvements and drive business strategy
- Create A/B tests to measure improvements
- Apply statistical knowledge to understand our business, customers and predict future behavior
- Use a scientific approach for segmentation, clustering and classification among others.
- Communicating with team members, stakeholders, and cross-functional teams to ensure alignment and support for data projects.
- Being the steward of data quality, ensuring that metrics are consistently reported across the catalog of data products.
- Defining key performance indicators (KPIs) for a number of initiatives and projects.
- Utilizing data visualization tools and techniques to effectively communicate findings and insights.
- Developing and delivering presentations to various audiences, including senior management and stakeholders.
- Continuously learning and staying up-to-date with the latest developments in data management and analysis.
- Help us identify and prevent fraudulent activity through data analysis
Requirements
Who Are You?
- At least 10 years of hands-on experience in data science, advanced analytics or related field
- 5 years of proven experience with building statistical and/or machine learning models
- You have expertise in implementing data science approaches and solutions. Proven ability to design and deliver end-to-end data science products and services ready for consumption.
- Excellent understanding of SQL, Python, statistical modeling packages, scientific computing libraries (Pandas, Numpy, Scipy or related) and machine learning tools and concepts. R and Tensorflow are a plus.
- Able to communicate sophisticated quantitative analysis in a clear, detailed, and concise manner to senior management including presentation and documentation.
- Can stay up to date with external factors affecting the market (seasonality, economical, political, etc) and be able to apply this intelligence into your work.
- You should be data-driven in your decision-making and be able to independently define and report vital KPIs for complex web projects.
- Have working experience in Agile and SCRUM, Kanban, and be able to follow these frameworks to data projects effectively.
- Familiarity with data visualization tools and techniques
- A strong team player, willing to share knowledge with other team members and help out where needed
- A strong understanding of data management and analysis
- Experience managing project timelines and deliverables
- Excellent communication skills and the ability to work with cross-functional teams
- Fluency in English
- Excellent, engaging presentation skills
- Prior experience working with web platforms and websites
- A data-driven mindset in decision making
- A working understanding of fraud prevention concepts (a plus)
- Familiarity with machine learning concepts (a plus)
- Experience with reinforced and human-assisted machine learning (a plus)
We are always looking for the best candidates, so if you think you would be a good fit even if you don't meet 100% of the requirements we would love to hear from yo