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Senior Data Scientist

Vertex Analytics Solutions
New York
Salary Estimate
USD 140.000 – USD 180.000
Posting Time
7 Mei 2026
Deadline
7 Mei 2027

Job description

Vertex Analytics Solutions is seeking a highly skilled Senior Data Scientist to lead sophisticated analytics projects and deliver profound business insights for our rapidly growing client base. Join an energetic, visionary team in the heart of New York, where your expertise will shape decision-making and drive innovation in machine learning, predictive modeling, and data-driven strategy.

We offer an outstanding compensation package, generous benefits, hybrid flexibility, and diverse development opportunities in a collaborative culture.

Responsibility

  • Develop, deploy, and optimize machine learning models for predictive analytics and process automation.
  • Lead end-to-end data science projects, from problem definition to stakeholder delivery.
  • Collaborate cross-functionally with product, engineering, and business teams to translate data insights into actionable strategies.
  • Design and conduct A/B tests and statistical analyses to quantify business impact.
  • Mentor and guide junior data scientists, fostering growth and best practices.
  • Present complex findings to executive-level audiences in clear, compelling ways.
  • Ensure data quality, integrity, and compliance with industry regulations.
  • Continuously research and evaluate emerging tools, technologies, and methodologies in data science.

Qualification

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or related field.
  • 5+ years of demonstrated hands-on experience in advanced data science or analytics roles.
  • Proficiency in Python, R, SQL, and modern machine learning frameworks (scikit-learn, TensorFlow, PyTorch).
  • Exceptional skills in statistical and predictive modeling.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Strong expertise in cloud platforms (AWS, GCP, or Azure).
  • Excellent communication, presentation, and interpersonal abilities.
  • Proven track record in leading or mentoring high-performing data teams.

Required Skills

Data Science Machine Learning Python R SQL Statistical Modeling AWS Data Visualization Leadership Deep Learning

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