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Data Scientist

Job in New York, New York County, New York, 10261, USA
Listing for: Cdda Ltd.
Full Time position
Listed on 2025-12-03
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: New York

Join our Data Analytics team to help clients extract valuable insights from their data and drive business decisions. You'll work on diverse projects across industries, applying advanced techniques to solve complex business problems.

Responsibilities
  • Develop and implement machine learning models to solve business problems
  • Analyze large datasets to identify patterns, trends, and insights
  • Create visualizations and dashboards to communicate findings effectively
  • Collaborate with cross-functional teams to understand business needs and requirements
  • Develop data-driven solutions to optimize business processes
  • Stay current with advancements in data science and machine learning
  • Document methodologies, analyses, and results
  • Present findings and recommendations to stakeholders
  • Mentor junior data scientists and analysts
Requirements
  • Master's or PhD in Computer Science, Statistics, or related field
  • 3+ years of experience in data science or machine learning
  • Proficiency in Python, R, or similar languages
  • Experience with data visualization tools (Tableau, Power BI, etc.)
  • Knowledge of SQL and database systems
  • Experience with machine learning frameworks (Tensor Flow, PyTorch, scikit-learn)
  • Strong statistical analysis skills
  • Excellent communication skills to present findings to technical and non-technical audiences
  • Experience with big data technologies is a plus (Hadoop, Spark)
  • Competitive salary and performance bonuses
  • Comprehensive health, dental, and vision insurance
  • 401(k) matching program
  • Flexible work arrangements (hybrid model with 2-3 days in office)
  • Professional development budget for conferences, courses, and certifications
  • Generous paid time off and holidays
  • Parental leave program
  • Relocation assistance if needed
  • Regular team building events and activities
  • Wellness program and gym membership reimbursement
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