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Senior Data Scientist - Machine Learning

Nexus Data Labs
New York
Salary Estimate
USD 140.000 – USD 180.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to lead the next generation of artificial intelligence?

Nexus Data Labs is seeking a visionary Senior Data Scientist to join our elite analytics team in the heart of New York City. You will be responsible for architecting complex machine learning models that drive real-world business impact across our fintech and healthcare divisions.

We offer a competitive benefits package, including equity options, remote flexibility, and continuous learning opportunities.

Responsibilities

  • Design, develop, and deploy scalable machine learning algorithms and statistical models to solve complex business problems.
  • Collaborate with cross-functional teams of engineers, product managers, and stakeholders to translate business requirements into technical solutions.
  • Perform exploratory data analysis (EDA) to uncover hidden patterns and drive strategic decision-making.
  • Optimize data pipelines and infrastructure to ensure high availability and low latency for model inference.
  • Conduct rigorous A/B testing and statistical analysis to validate model performance and business ROI.
  • Stay abreast of the latest research in Deep Learning, NLP, and Reinforcement Learning to integrate cutting-edge techniques.
  • Mentor junior data scientists and promote a culture of data-driven innovation.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science or machine learning engineering.
  • Proficiency in programming languages such as Python, R, or Scala, with strong expertise in PyTorch or TensorFlow.
  • Expertise in SQL and experience with distributed data processing frameworks (e.g., Spark, Hadoop).
  • Strong understanding of software engineering best practices, version control, and cloud deployment (AWS/GCP/Azure).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical audiences.
  • Experience with Natural Language Processing (NLP) or Computer Vision is a significant plus.

Required Skills

Python Machine Learning SQL TensorFlow PyTorch Spark AWS Data Visualization A/B Testing Statistical Modeling

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