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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
San Francisco
Salary Estimate
USD 150.000 – USD 200.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Analytics, a pioneering AI-first company transforming industries through data-driven innovation. We're seeking a visionary Senior Data Scientist to lead complex analytics initiatives and shape our future. In this high-impact role, you'll collaborate with cross-functional teams to extract actionable insights from vast datasets, develop predictive models, and drive strategic decision-making. Our dynamic culture offers unparalleled growth opportunities, cutting-edge resources, and the autonomy to revolutionize how businesses leverage data.

As a cornerstone of our data science division, you'll work on projects ranging from customer behavior analysis to supply chain optimization, directly influencing our product roadmap and business outcomes. We value creativity, intellectual curiosity, and a passion for solving real-world problems through data.

Responsibilities

  • Design and implement advanced machine learning models for predictive analytics and pattern recognition
  • Lead end-to-end data science projects: from data collection and cleaning to deployment and monitoring
  • Translate complex business challenges into data-driven solutions using statistical analysis
  • Collaborate with engineering teams to integrate models into production systems
  • Present findings to executive stakeholders through compelling visualizations and narratives
  • Mentor junior data scientists and foster a culture of continuous learning
  • Stay current with emerging techniques in NLP, computer vision, and deep learning

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field (PhD preferred)
  • 5+ years of experience in data science roles with proven track record of impactful projects
  • Expertise in Python, R, SQL, and data visualization tools (Tableau/Power BI)
  • Strong foundation in statistical modeling, experimental design, and hypothesis testing
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies (Spark/Hadoop)
  • Demonstrated ability to translate business requirements into technical solutions
  • Excellent communication skills with ability to articulate complex concepts to non-technical audiences
  • Portfolio showcasing 3+ completed data science projects with measurable business impact

Required Skills

Python R SQL Machine Learning Statistical Modeling Data Visualization AWS Spark NLP Deep Learning

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