Provide technical expertise on advanced analytics and machine learning across various functions
Develop AI/ML systems and provide actionable insights to solve business problems
Collaborate with stakeholders to leverage data-driven insights and predictive models
Gather, analyze, and model data, applying mathematical models and tools
Communicate model design and results to senior leaders and business partners
Maintain knowledge of techniques and developments in the field of Machine Learning and AI

Requirements

Undergraduate degree required
Advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
Experience in predictive modelling using various ML/AI techniques
Formal training or substantive experience in a quantitative field such as Computer Science, Statistics, Mathematics, or relevant fields
In-depth knowledge of ML/AI algorithms and techniques, such as Gradient Boosting Method, NLP, modern deep Neural Networks, and time series forecasting
Full stack experience in data science product delivery, including data collection, aggregation, analysis, and visualization, development and testing, implementation, and monitoring
Proficiency in Python, PySpark, PyTorch, and SQL programming languages as well as object-oriented programming
Familiarity with version control software or platform such as Git, Bitbucket or Github
Strong analytical and problem-solving skills are required to interpret data and draw conclusions
Ability to work independently and collaboratively in a fast-paced, dynamic environment
Excellent written and verbal communications skills

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
Banking benefits and discounts
Career development
Reward and recognition

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

machine learningartificial intelligencepredictive modelingdata analysismathematical modelingML algorithmsNLPdeep learningtime series forecastingobject-oriented programming

Soft skills

analytical skillsproblem-solving skillscommunication skillscollaborationindependenceadaptabilitystakeholder engagementdata-driven decision makingpresentation skillsfast-paced work