Job Description

Archetype is seeking a Data Scientist to work with our customers and prospects to educate them on machine learning best practices and implantation.  This role’s responsibilities include:

• Working with prospects’, customer’ and Archetype’s executives, data analyst, product managers, data architects, and engineers to define requirements, design solutions, and build/test/deploy these solutions

• Be deep and broad with your technical and functional skill set to support end-to-end analytics across a variety of industries

• Stay up to speed on emerging technologies and dynamic in how we evolve our approach for our customers

• Proactively identifying opportunities for upsell and account expansion

• Support sales processes by participating in scoping calls, solution design workshops, developing estimates and prototyping solutions

• Most of the work can be managed remotely but must be able and willing to travel when needed

Required Qualifications: (Must Have)

• 3-5 years building statistical and machine learning models with hands-on knowledge of applying Data Science concepts to business challenges including customer churn, customer segmentation, and product and services based neural networks

• Demonstrated experience evaluating complex business and technical requirements and formulate clear, concise documentation

• Expert knowledge of one or more data science tools including: Dataiku, DataRobot, Jupyter Notebooks, Pandas, SciPy, Scikit, PyTorch and/or TensorFlow

• Experience/Familiarity using most of these ML techniques: Clustering, Regression (Multivariate, Logistic, etc), Support Vector Machines, Classification, Graphical Models, Bagging, Boosting, Decision Trees etc.

• Analytical and problem-solving experience, exposure to large-scale data warehouses

• Advanced experience in performing exploratory data analysis, feature engineering, data normalization and hyperparameter tuning

Preferred Qualifications: (Nice-To-Have)

• Data driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics. MS/PhD a plus

• Experience with a statistical programming language like R or Python preferred

• Prior work experience in a business analytics space would be highly valued

• Exposure to multiple BI Tools: Tableau, ThoughtSpot, Looker, Sigma, PowerBI

• Exposure to multiple Data Warehousing platforms: Snowflake, Azure, AWS, Oracle

• Experience using statistical computer languages such as Python, R, Scala and Sql