Senior Data Scientist - NLP

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 different aspects of brands, using machine learning, statistical learning, and NLP to determine the impact future actions will have on brands. As a member of the team you will be spending your time as a hands-on data scientist and research practitioner. This includes recognizing patterns from the data, creating and improving existing algorithms, and creating systems that automate brand analysis.

Responsibilities

• Model and utilize cutting edge machine learning techniques to measure the impact and attribution of different dimensions in the success of our brands.
• Create and maintain statistical/machine learning models with a focus on Natural Language Processing (NLP).
• Research, implement and validate state-of-the-art machine learning solutions for predictive and prescriptive models.
• Develop, implement and manage data science workflows, 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

• 4+ years of Industry experience in applying statistical modeling, machine learning, and knowledge discovery techniques to real world problems.
• Solid foundations and understanding of knowledge discovery, predictive modeling, statistical modeling, machine learning algorithms with emphasis on Natural Language Processing (NLP).
• Experience with Deep Learning specifically language and transformer models.
• Skilled in obtaining data from various data sources (e.g., structured, semi-structured and unstructured data).
• Excellent verbal and written communication skills.
• Basic understanding of Cloud computing.
• Proficient in Python and experienced in at least one other higher-level programming language like R, C/C++, Rust, Go, Julia, etc.
• Practical experience with Tensorflow, Pytorch, or Keras.
• M.S. or Ph.D. in Computer Science, Statistics, Operations?Research,?or similar quantitative?field.?
• Experience modeling financial 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.