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Sponsorisé par ExponentUserGems is an AI platform that helps sales and marketing teams double their pipeline impact with the same team. Our AI agent (Gem-E) captures buying signals and your CRM data to identify who to target, when, and why, drafting highly personalized and impactful outreach that results in higher conversion.
UserGems has generated $4 Billion in pipeline and over $950 Million in revenue for hundreds of start-ups and public companies. Companies like Mimecast, UserTesting, SAP LeanIX see more than 15X ROI in closed won revenue from UserGems.
Company Overview:
UserGems' vision is to help companies reach the right buyers at the right time. Sales and marketing are ultimately all about building a relationship with the right people within a target company, so we are building an AI-powered platform to help sales, marketers, and customer success managers to automate repetitive tasks for them.
Our Product
UserGems helps companies generate more revenue by identifying buyers who will most likely buy from them and automating and actively assisting throughout the sales process.
AI is the base of our product. Starting from ranking the potential customers down to generating personalized emails, keeping track of the whole communication process and giving very specific suggestions based on the most successful sales strategies.
Position Overview:
We are seeking a talented and motivated Senior Data Scientist to join our team. As a Senior Data Scientist, you will play a key role gaining impactful insights by analyzing complex sales-datasets, developing machine learning models, and translating insights into actionable business strategies. You will collaborate closely with cross-functional teams to drive innovation and solve challenging problems using cutting-edge technologies. The position is fully remote.
Responsibilities:
- As a Senior Data Scientist you will be responsible for the full cycle of AI feature development starting from idea generation up to ensuring business value of the feature.
- Create complex agentic AI systems using LLM, RAGs. Our focus is on the quality of such systems.
- Design, develop, and implement machine learning models and algorithms for predictive analytics and pattern recognition.
- Conduct end-to-end analysis of large and complex datasets to extract valuable insights.
- Collaborate with engineering teams to deploy models into production and optimize performance.
Qualifications:
- Proven 5+ years experience in Data Science preferably with focus in NLP and LLMs.
- Background in Computer Science, Physics, Mathematics, or related quantitative fields.
- Proven ability of developing AI based features and bringing them into scalable products.
- Experience working in a fast growing startup environment.
- Excellent software development skills: fluent with Git, testing, REST api, Docker etc.
- Ability to work independently and collaborate effectively in a team environment.
- Strong communication skills with the ability to explain complex concepts to diverse audiences.
- Ability to work fully remote.
Preferred Qualifications:
- Experience with RAGs and agentic AI systems.
- Understanding of databases, especially SQL.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus (we work with AWS).
- Previous experience in industries such as sales & marketing analytics is a plus.
- Knowledge of big data technologies is a plus.
Benefits:
- Competitive salary.
- Flexible work hours, possibility to work from everywhere.
- Professional development opportunities and support for continued education.
- Collaborative and inclusive work environment.
- Company off-sites: Meeting our amazing team at amazing locations
Why you should join:
- You’ll be part of a fast-growing startup as it scales from 60 employees to 100+
- Customers love us! (see our Customers page and G2 Reviews). They see ROI in Closed Won revenue generated
- Employees love us! (see our Glassdoor & RepVue page)
- We're a remote-first company with employees across the Americas and Europe
- We have weekly standups, virtual happy hours, and in-person off-sites around the world so that everyone stays connected
- We are customer-focused and data-driven in everything we do
- We value individual differences in the workforce and strive to make everyone feel welcomed and accepted, regardless of their skin color, gender, or sexual orientation
- We offer a competitive salary and benefits
