Senior Data Scientist - Time Series

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 creating predictive models with a focus on time series data, building processes and systems that automate model creation, implementing models at the cutting edge of AI, machine learning, and statistical research. The models that you design and build will impact millions of customers and affect the decisions we make as a business.

Responsibilities

• Implement and validate predictive and prescriptive models
• Create and maintain statistical/machine learning models with an initial focus on time series data
• Develop and implement new methodologies, algorithms, and models to improve how we leverage our data.
• Design, implement, and manage data science workflows, including processes and standards for collecting, cleaning, and regularizing 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

• Strong foundation in time series analysis, machine learning, and predictive modeling
• Comprehensive knowledge of predictive analytics, statistical modeling, machine learning and data mining 
• Understanding of reinforcement learning
• Excellent verbal and written communication skills
• Basic understanding of cloud computing
• Proficiency in one or more of Python, R, C/C++, Rust, Go, Julia
• Experience modeling financial data is 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.