We are seeking a dedicated and passionate data scientist to join our team. This role will lead development of the modeling strategies and execution critical to supporting our core analytics offering.
Daash Intelligence is a well-funded technology start-up pioneering the next-generation of predictive commerce intelligence. Our mission is to bring transparency to retail markets, enabling our customers to track and anticipate market trends more easily, more comprehensively, and more affordably, than ever before. Why does this matter? Because there are tens of thousands of small and medium-sized consumer product brands struggling to compete with the bigger,
old school companies who can afford to spend millions of dollars per year on market research. Daash solves this problem by democratizing access to the actionable intelligence they need to succeed.
Although we're still in stealth mode, Daash has been getting great traction, with over 25 high profile clients already licensing the platform. But there's a lot more work to do and we need your help! The problems we're working on are challenging, but fun and incredibly rewarding to solve. The Daash team is getting it done – we're super scrappy, highly motivated and fully funded. Join us!
Position Overview:
We are seeking a dedicated and passionate data scientist to join our team. This role will lead development of the modeling strategies and execution critical to supporting our core analytics offering. You will play a key role in development of our data integrity and continual accuracy measurement framework, as well as, our deployment architecture of all machine learning services.
Responsibilities:
As a member of the Data Science's Team, your responsibilities will include:
- Drive R efforts of machine-learning based predictive models in use across the application and operation stack
- Lead innovation in feature engineering, fine tuning, and model specification to uncover powerful new approaches to existing solutions
- Design statistical methods for efficient estimation of model parameters and data-driven insights
- Build optimization algorithms to help deliver computational efficiency across operations
- Implement innovative accuracy measurement and anomaly detection techniques that help us ensure platform reliability and data integrity
Qualifications:
- Fluent in Python and associated data processing libraries, including Pandas, NumPy, Scikit-Learn
- Expertise in machine learning techniques (both supervised and unsupervised) with experience in real-world settings
- Experience with statistical and mathematical modeling techniques
- Experience working in large-scale, complex and dynamic data environments
- Experience with source-control and CI/CD tools, i.e. Github
- Experience with AWS
- Excellent communication skills with ability to translate complex, technical information to business stakeholders
- Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field. Advanced degrees preferred.
- Bonus if comfortable working with distributed data technologies, preferably PySpark
- Bonus if experienced with data acquisition frameworks, preferably Scrapy and Requests
- Bonus if experienced with time-series data and modeling environments
- Bonus if comfortable with using generative-AI frameworks within workflow
- Bonus if any specific background in retail or DTC is a plus but not a requirement
- Comprehensive Health (PPO), Dental, and Vision Insurance Plan Coverage
- Unlimited PTO Policy
- Remote and flexible location options (though company operates on Eastern Standard Time)
- Salary $120k - $140k, plus annual bonus and equity participation based on qualifications
Candidates passionate about sculpting the future of retail analytics are invited to submit their resume to
.
Daash Intelligence takes pride in being an equal opportunity employer, fostering an ecosystem of diversity and inclusion.
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