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About This Position
We are seeking a Senior Data Scientist to join our Data Science team. You will play an integral part of the team, providing analytical excellence which will drive both Ria and XE’s strategy. At both Ria and XE, your contributions can be appreciated by millions of people around the world, therefore we are seeking someone who is determined to show the world the power of applied analytics.
The ideal candidate will be passionate about investigating and deciphering large and complex datasets, and able to communicate this passion to business owners and other staff. If this is you, then this is the role for you.
The Data Scientist will be responsible for:
Working on projects such as supervised and unsupervised model development
Owning analytical frameworks that guide the product roadmap
Designing rigorous experiments and interpreting results to draw detailed and actionable conclusions
Developing statistical models to extract trends, measure results, and predict future performance of our products and services
Building simulations to project impact of various product and policy interventions
Enabling objective decision making across the company by democratizing data through dashboards and other analytical tools
Using expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Ria and Xe
Presenting findings in a compelling way to influence leadership
Supporting other projects as directed by more senior staff
Requirements
Business acumen - understands key challenges facing our business and partners with key stakeholders to find creative ways to apply data science to solve them.
Analytical skills – identify, measure, and impact the important metrics needed to manage and monitor data quality; able to simplify complex content.
Attention to detail – appropriately checks all work for errors and does not let important details slip when it comes to data and its accuracy.
Creative problem solving - able to use creativity and curiosity as tools to solve any problem, producing a solution that is relevant and realistic.
Efficiency – able to quickly iterate on data generation and refinement. Looks for ways to improve processes to maximize efficiency and remove redundancy
Proactivity – acts without being told what to do at each step; generates novel ideas and processes to drive the business and team forward.
Qualifications
Advanced Degree (e.g., MS, PhD, or MBA) in quantitative fields such as Data Science, computer science, Statistics, Mathematics, Operations Research or Engineering.
Advanced experience developing Machine learning models (supervised, unsupervised)
Strong programming skills in Python and PySpark. Comfortable in version control tools such as Git and knowledge of cloud environments such as AWS.
Experienced in working in Big Data Analytical environments/technologies (Hadoop, Spark)
Ability to write complex, efficient, and eloquent SQL queries to extract data
7+ years of related industry experience
Excellent knowledge of SQL/NoSQL, comfortable working with relational/nonrelational data models
Experience in ML Operations and model deployment is a definite asset
Excellent written and oral communication skills in English
Highly self-motivated and directed
Ability to effectively prioritize and execute tasks in a high-pressure environment
Ability to travel upon request
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Benefits
Annual salary increase review
End of the year bonus (Christmas bonus)
ESPP (Employee Stock Purchase Plan)
Paid day off for birthday
15 day vacation per year
Insurance guaranteed for employees ( Health, Oncological , Dental , Life Insurance)
No fee when using RIA service/wire transfers.
