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← Conga

Staff Data Scientist (AI/ML)

Conga
Location
US - Boston, MA ; US - Houston, TX
Posted
1 month ago
Department
R&D
What they actually want (must-haves)
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field; Ph.D. is preferred but not required
  • 10+ years of professional experience in data science, machine learning, or AI
  • 5+ years working on AI/ML or GenAI solutions
  • Proven track record of developing, deploying, and scaling production-grade machine learning models
  • Deep expertise in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, and LangChain
  • Advanced knowledge of machine learning algorithms, statistical modeling, experimentation methodologies, generative models, and LLMs
Nice to have
  • Experience with multi-modal models, reinforcement learning, causal inference, experimentation platforms, and responsible AI principles
  • Advanced knowledge of GCP technologies such as VertexAI, BigQuery, DataFlow
  • Contributions to the AI/ML or data science community through publications, open-source projects, or speaking engagements
  • Familiarity with agile methodologies and working in a cross-functional product development environment
What the job really is

As a Staff Data Scientist at Conga, you will lead the strategy, development, and deployment of AI and machine learning solutions, ensuring they align with organizational goals. Your role involves mentoring team members, driving innovation in product development, and collaborating with cross-functional teams to deliver impactful solutions. You will also take ownership of high-impact initiatives, from problem formulation to model deployment, while advocating for best practices in machine learning and AI.

Benefits
  • U.S. base salary range: $174,000 — $278,400 USD
  • Variable incentive pay component
  • Flexible work options
  • Medical and dental insurance
Things to weigh
  • No specific mention of remote work beyond hybrid options
  • High level of experience required may limit applicants
  • Salary range suggests potential for negotiation based on experience
Job score2.6/5
Benefits2/5
Freshness1/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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