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Senior Data Scientist
3 months ago
Job Title: Senior Data Scientist
Location: Dallas TX, Rutherford NJ, Hybrid
Job Type: Full-Time
Job Summary: The Senior Data Scientist will play a critical role in designing, developing, and deploying advanced AI models to solve complex business problems and drive strategic decision-making. This role requires a deep expertise in predictive analytics and generative AI techniques, combined with strong leadership and communication skills to guide cross-functional teams and deliver high-impact solutions.
Key Responsibilities:
- AI Model Development:
- Design and implement sophisticated predictive models and generative AI systems to address business needs and enhance decision-making processes.
- Utilize advanced machine learning algorithms, including but not limited to deep learning, reinforcement learning, and generative adversarial networks (GANs), to develop innovative solutions.
- Data Analysis and Interpretation:
- Analyze large and complex datasets to extract actionable insights and drive data-informed strategies.
- Develop and validate models that predict trends, behaviors, and outcomes, ensuring accuracy and robustness.
- Leadership and Mentorship:
- Lead and mentor a team of data scientists and analysts, fostering a collaborative and innovative environment.
- Provide guidance on best practices, model development, and data analysis techniques.
- Cross-Functional Collaboration:
- Work closely with engineering, product management, and other departments to integrate AI solutions into existing systems and workflows.
- Communicate complex technical concepts and results to non-technical stakeholders in a clear and impactful manner.
- Project Management:
- Oversee the end-to-end lifecycle of AI projects, from conceptualization to deployment and monitoring.
- Develop project plans, manage timelines, and ensure the successful delivery of AI solutions.
- Research and Innovation:
- Stay updated with the latest advancements in AI, machine learning, and data science to incorporate cutting-edge techniques into projects.
- Contribute to research and development efforts, publishing findings in relevant forums and conferences.
Qualifications:
- Education and Experience:
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of experience in data science, with a strong focus on predictive analytics and generative AI techniques.
- Technical Skills:
- Expertise in developing and deploying predictive models and generative AI systems.
- Proficiency in programming languages such as Python, R, or Julia, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of data manipulation and analysis using SQL and other data processing tools.
- Experience with cloud platforms and big data technologies (e.g., AWS, Azure, Google Cloud, Hadoop, Spark).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and advanced statistical analysis.
- Soft Skills:
- Strong leadership and team management abilities, with experience guiding and mentoring data science teams.
- Excellent problem-solving skills and the ability to think critically and strategically.
- Outstanding communication skills, with the ability to convey complex technical information to diverse audiences effectively.