Daash Intelligence is an early stage technology company at the forefront of next-gen predictive commerce intelligence. Our mission is to make retail markets more transparent, enabling our clients to track and predict market trends more easily, thoroughly, and affordably. This is crucial because countless small and mid-sized consumer brands struggle to compete with larger companies that invest millions in market research. Daash tackles this by democratizing access to the actionable intelligence these brands need to thrive.
Our rapidly growing team of dedicated scientists, engineers, and business leaders is united in this vision, and the market response has been incredible! Over 90 high-profile clients use our platform to help inform their strategic business decisions. Join us and contribute to our collaborative and innovative team as we revolutionize the commerce intelligence industry!
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 and AI services.
As a member of the Data Science’s Team, your responsibilities will include:
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Drive R&D efforts of machine-learning based predictive models in use across the application and operation stack
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Develop GenAI-based techniques and tooling for data processing and data enrichment across the pipeline
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Lead innovation in feature engineering, fine tuning, and model specification to uncover powerful new approaches to existing solutions
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Design statistical methods for efficient estimation of model parameters and data-driven insights
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Implement innovative accuracy measurement and anomaly detection techniques that help us ensure platform reliability and data integrity
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Fluent in Python and associated data processing libraries, including Pandas, NumPy, Scikit-Learn
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Expertise in machine learning techniques (both supervised and unsupervised) with experience in real-world settings
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Experience with statistical and mathematical modeling techniques
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Experience working in large-scale, complex and dynamic data environments
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Experience with source-control and CI/CD tools, i.e. Github
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Experience with AWS
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Excellent communication skills with ability to translate complex, technical information to business stakeholders
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Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field. Advanced degrees preferred.
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Bonus if experienced with time-series data and modeling environments
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Bonus if comfortable with using generative-AI frameworks within workflow
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Bonus if any specific background in retail or DTC is a plus but not a requirement
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Comprehensive Health (PPO), Dental, and Vision Insurance Plan Coverage
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Unlimited PTO Policy
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Remote and flexible location options (though company operates on Eastern Standard Time)
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Salary $120k - $160k, 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 hiring@daash.co.
Daash Intelligence takes pride in being an equal opportunity employer, fostering an ecosystem of diversity and inclusion.
