Job description
UserGems 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 Data Scientist to join our team. As a 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.
This is a great opportunity for someone who is interested in being a part of a tech startup with an award winning product! You’ll be around fun, talented people that are passionate about coding and technology and professionally developing in their career.
The position is fully remote.
Responsibilities:
- 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.
- Work closely with stakeholders to understand business objectives and develop data-driven solutions.
- Build automatic ML pipelines from extracting data to serving and updating the models in production.
- Communicate findings and recommendations to technical and non-technical audiences through reports and presentations.
- Stay updated with the latest developments in data science, machine learning, and related fields.
Qualifications:
- Background in Computer Science, Physics, Mathematics, or related quantitative fields.
- Proven experience in data analysis, statistical modeling, and machine learning techniques preferably with focus on NLP and LLMs.
- Proficiency in Python for data manipulation and ML models development.
- Understanding of databases, especially SQL.
- Good software development skills. Familiarity with Git, testing, REST apis.
- Experience with machine learning frameworks and libraries such as PyTorch, scikit-learn, pandas, transformers etc.
- Excellent problem-solving skills with a strategic and analytical mindset.
- Ability to work independently and collaborate effectively in a team environment.
- Strong communication skills with the ability to explain complex concepts to diverse audiences.
- Experience putting systems in production (Docker and/or cloud alternatives)
- Ability to work fully remote.
Preferred Qualifications:
- Experience with RAGs and agentic AI systems.
- 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
