Confidential
Senior Data Scientist (PHDS Only) Fortune 100 Co Direct Hire salary up to $145K+
Confidential, Houston, Texas, United States, 77246
Senior Data Scientist (PHDS Only) Fortune 100 Co Direct Hire salary up to $145K+10% Bonus
Join one of the world’s leading Fortune 100 companies dedicated to innovation, excellence, and impactful solutions. We harness the power of data to drive strategic decisions, deliver transformative insights, and maintain our competitive edge globally. Be part of a dynamic team shaping the future of our industry. Position Overview: We are seeking a highly skilled and motivated
Senior Data Scientist
with a PhD and demonstrated expertise in data science to join our advanced analytics team. The ideal candidate will have a passion for leveraging complex datasets, developing predictive models, and driving actionable insights to solve critical business challenges at scale. Key Responsibilities: Lead the design, development, and deployment of advanced machine learning models and statistical analyses to address high-impact business problems. Collaborate cross-functionally with business leaders, engineers, and product teams to translate business objectives into analytical solutions. Drive innovation by exploring new methodologies, algorithms, and tools to enhance data-driven decision making. Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and excellence. Communicate complex analytical concepts and results effectively to both technical and non-technical stakeholders. Ensure the integrity, quality, and security of data used in analytical processes. Qualifications: PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Minimum of 5 years of professional experience in data science or a related role, preferably within large-scale enterprise environments. Expertise in machine learning, statistical modeling, predictive analytics, and experimental design. Proficiency in programming languages such as Python, R, or Scala and familiarity with data frameworks (e.g., TensorFlow, PyTorch, Spark). Strong experience with big data platforms and cloud technologies (e.g., AWS, Azure, GCP). Demonstrated ability to work with large, complex datasets and derive actionable business insights. Excellent problem-solving skills and a strong analytical mindset. Exceptional communication and collaboration skills. Preferred Qualifications: Publications or contributions to recognized scientific journals or conferences. Experience in industry-specific domain, e.g., finance, healthcare, retail. Leadership experience in managing projects or teams. Why Join Us? Be part of a cutting-edge analytics team driving innovation at a global scale. Access to vast, diverse datasets and state-of-the-art tools and infrastructure. Opportunities for professional growth, mentorship, and continuous learning. Competitive compensation and comprehensive benefits package. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology and Engineering Industries
Information Services, Technology, Information and Media, and Data Infrastructure and Analytics
#J-18808-Ljbffr
Join one of the world’s leading Fortune 100 companies dedicated to innovation, excellence, and impactful solutions. We harness the power of data to drive strategic decisions, deliver transformative insights, and maintain our competitive edge globally. Be part of a dynamic team shaping the future of our industry. Position Overview: We are seeking a highly skilled and motivated
Senior Data Scientist
with a PhD and demonstrated expertise in data science to join our advanced analytics team. The ideal candidate will have a passion for leveraging complex datasets, developing predictive models, and driving actionable insights to solve critical business challenges at scale. Key Responsibilities: Lead the design, development, and deployment of advanced machine learning models and statistical analyses to address high-impact business problems. Collaborate cross-functionally with business leaders, engineers, and product teams to translate business objectives into analytical solutions. Drive innovation by exploring new methodologies, algorithms, and tools to enhance data-driven decision making. Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and excellence. Communicate complex analytical concepts and results effectively to both technical and non-technical stakeholders. Ensure the integrity, quality, and security of data used in analytical processes. Qualifications: PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Minimum of 5 years of professional experience in data science or a related role, preferably within large-scale enterprise environments. Expertise in machine learning, statistical modeling, predictive analytics, and experimental design. Proficiency in programming languages such as Python, R, or Scala and familiarity with data frameworks (e.g., TensorFlow, PyTorch, Spark). Strong experience with big data platforms and cloud technologies (e.g., AWS, Azure, GCP). Demonstrated ability to work with large, complex datasets and derive actionable business insights. Excellent problem-solving skills and a strong analytical mindset. Exceptional communication and collaboration skills. Preferred Qualifications: Publications or contributions to recognized scientific journals or conferences. Experience in industry-specific domain, e.g., finance, healthcare, retail. Leadership experience in managing projects or teams. Why Join Us? Be part of a cutting-edge analytics team driving innovation at a global scale. Access to vast, diverse datasets and state-of-the-art tools and infrastructure. Opportunities for professional growth, mentorship, and continuous learning. Competitive compensation and comprehensive benefits package. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology and Engineering Industries
Information Services, Technology, Information and Media, and Data Infrastructure and Analytics
#J-18808-Ljbffr