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Job Overview

dotData is hiring a customer-facing data scientist who is excited about automating data science. This position requires working directly with customers to use dotData products to solve their challenging problems, and working with the product/engineering teams to incorporate customer feedback to continuously improve product functionalities.

Roles and Responsibilities

• Work directly with customers to define business problems, translate those problems into a set of well-defined data science use cases with quantifiable success criteria, as well as architect/develop solutions centered around dotData products
• Be a trusted advisor to our customers, providing consultations on the best practices of data science and related technology fields. Advise customers in new use case discovery and the expansion of dotData footprint in customer’s analytics landscape. Responsible for the continued success of our customers with dotData products
• Collect customer feedback and work with product/engineering teams to incorporate them into the product development process, while addressing customer requests in a strategic manner
• Conduct benchmarking analysis using open source datasets and explore new techniques for product improvement. This includes new algorithms, new data processing techniques, new feature engineering methods, etc. Build demos/prototypes if needed to accelerate the adoption of new features
• Work closely with the sales team on enhancing dotData visibility within customer organization, and enabling potential cross sale/up sale opportunities

Minimum Qualifications

• 3+ years professional experience building data science-driven solutions including data processing, feature engineering/selection, model training/tuning, and post-deployment validation
• Strong knowledge of data analytics and machine learning, and familiarity with common use cases across different industries
• Strong hands-on coding skills (preferably in Python) and familiarity with SQL
• Strong communication and presentation skills, and passionate about evangelizing data science solutions to broader teams on the customer side and driving business impact
• BS/BA Degree in Math, Engineering, CS or another Quantitative field

Preferred Qualifications:

1. 5 years of professional experience working in a customer facing role
2. Familiarity with Hadoop, Spark, AWS and related Big Data Technologies
3. Experience building data pipelines
4. Expert domain knowledge with a specific industry, e.g., financial services, insurance, etc

About dotData

dotData is a Silicon Valley-based startup focused on full-cycle Machine Learning and Data Science automation. Our platform automates the entire process of building predictive models starting from raw business data through data and feature engineering to machine learning all the way to production. We have offices in the USA, Japan, and Poland. Fortune 500 organizations around the world use dotData to accelerate their ML and AI projects.

Unique to the dotData Platform is its AI-powered feature engineering, which eliminates the most time-consuming and labor- and skill-intensive aspects of the full data science process by discovering and evaluating millions of features derived from relational, transactional, temporal, geo-locational, or text data.

dotData stemmed from Dr. Ryohei Fujimaki’s experience in leading more than 100 data analysis consulting projects at NEC, across a variety of industries and for a variety of customers. Prior to founding dotData, he was the youngest research fellow ever appointed in the 119-year history of NEC, an honor given to only six individuals worldwide among NEC’s 1000+ researchers.

dotData is an Equal Opportunity Employer: we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.