Senior Data Scientist - Causal Inference

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Dianthus is a trailblazer in e-commerce. We acquire Shopify businesses and grow them with our custom AI powered solutions. We are a fast-growing startup, so you have the opportunity to surround yourself with a passionate team and get in on the ground floor. There is also a tremendous opportunity for career growth, not just because we are moving so rapidly but because no matter what role you are in, at Dianthus you will be solving interesting problems about how to make every workflow more AI-focused!

We are hiring a Senior Data Scientist to join our world-class AI research team. As a member of this high performing team, your work will include leading the way for how we measure the impact of all models on customers, using causal inference to determine the impact future actions will have on customers, creating and improving existing algorithms, and creating systems that automate decision making. The underlying theme around your work will be determining situational awareness and determining the actions we take to shape the future we want.

Responsibilities

• Model the impact of different actions on our customers and their behavior
• Measure the impact and attribution of different models and experiments on our customers
• Define and setup experiments for each of our different brands
• Implement and validate predictive and prescriptive models
• Create and maintain statistical/machine learning models with a focus on causal inference
• Develop and implement new methodologies, algorithms, and models to improve how we leverage our data.
• Lead the identification and development of new data sources.
• Work collaboratively with team members across the company (engineering, product, etc.) to translate your findings into solutions.
• Communicate about machine learning models and products to both technical and non-technical audiences.

Qualifications and Skills

• Deep statistical foundation and knowledge of statistical learning theory
• Comprehensive knowledge of predictive analytics, statistical modeling, machine learning and data mining 
• Excellent verbal and written communication skills
• Basic understanding of cloud computing.
• Proficiency in one or more of Python, R, C/C++, Rust, Go, Julia
• Familiarity with PyWhy and do-calculus a plus

Benefits and Perks

• Comprehensive compensation and benefits package
• 401K
• Work-from-home flexibility
• 5 weeks vacation plus paid holidays
• Monthly childcare stipend for preschool aged children

At Dianthus we are committed to building a diverse team, so we are proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.