Companies you'll love to work for

Everywhere Ventures
Everywhere Ventures
277
companies
667
Jobs

Data Scientist

UserGems

UserGems

Data Science
Austria · Remote
Posted on Wednesday, May 22, 2024

Our Product

‍UserGems helps companies generate more revenue by identifying buyers who will most likely buy from them. By monitoring a company’s existing customer list for customer contacts that change jobs or move companies.

Each month, our customers get a list with these changes; identified and ranked by our proprietary algorithm. This algorithm combines thousands of data points to generate the best possible prospecting list, uniquely tailored to them so their sales team’s pipeline is always up to date with the correct prospect information so they can reach out to them.

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.

Responsibilities:

  • Conduct end-to-end analysis of large and complex datasets to extract valuable insights.
  • Design, develop, and implement machine learning models and algorithms for predictive analytics and pattern recognition.
  • Create research studies for our marketing team to strengthen our position as thought leader in the market
  • 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:

  • 3+ years of experience in Data Science or 1+ years of experience in Data Science + 2+ years experience in software development
  • Background in Computer Science, Statistics, Mathematics, or related quantitative field.
  • Proven experience in data analysis, statistical modeling, and machine learning techniques.
  • Proficiency in Python for data manipulation and model development.
  • Understanding of databases, especially SQL.
  • Experience with machine learning frameworks (we work with PyTorch) and libraries (e.g., scikit-learn, pandas).
  • Experience with transformer models for NLP.
  • 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 (Experience with Docker and/or cloud alternatives)

Preferred Qualifications:

  • Experience with LLMs (RAGs, OpenAI or Antropics API, LangChain or similar).
  • 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.
  • Experience with orchestration tools for data pipelines such as Airflow, Dagster etc

Benefits:

  • Fully remote
  • Competitive salary
  • Flexible work hours
  • Professional development opportunities and support for continued education
  • Collaborative and inclusive work environment
  • Company off-sites: Meeting our amazing team at amazing locations

Annual compensation:

€60.000- €75.000

Please note, a variety of factors are taken into consideration when determining compensation. The range listed is UserGems’ reasonable estimate of the compensation for this role. Actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location.