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Lead Data Scientist
- FinTech
- San Francisco, California
- permanent
- USD 200000.00 per annum
-
about the rolePermanent Job Alert:Title: Lead Data ScientistLocation: CaliforniaSalary: Up to $200,000Industry: FinTechContact: thomas.harris@forsythbarnes.comBrief Overview:As the Lead Data Scientist, you will spearhead the development and implementation of advanced machine learning models and AI-driven solutions to solve complex business problems. You will lead a team of data scientists and collaborate with engineers, product managers, and other stakeholders to drive innovation and ensure the effective use of data across the organization.JOB Requirements:Proficiency in Python for Data Science and AI Development:
- Extensive experience in using Python for data analysis, machine learning model development, and AI solution implementation. Expertise in Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch is essential.
Experience in Designing and Implementing Scalable Data Pipelines:- Proven ability to design, develop, and optimize scalable data pipelines and systems that handle large volumes of data efficiently. Familiarity with distributed computing frameworks like Apache Spark or Hadoop is a plus.
Strong Background in Java for System Integration and Backend Development:- Solid experience in using Java for building robust and scalable backend systems, particularly those that interact with data science models and AI-driven applications. Ability to work with Java-based microservices and APIs is highly desirable.
Expertise in Scaling Machine Learning Models:- Demonstrated ability to scale machine learning models from development to production, ensuring models perform efficiently in a high-traffic environment. Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying and scaling AI solutions is preferred.
Leadership and Team Management Skills:- Experience leading a data science team, with the ability to mentor and guide junior data scientists. Strong project management skills, with a focus on delivering scalable and high-impact data solutions that align with business objectives.
JOB Responsibilities:Lead the Development of AI and ML Models:- Design, develop, and optimize machine learning and AI models using Python. Ensure models are robust, scalable, and aligned with business objectives, applying techniques such as supervised, unsupervised, and reinforcement learning.
Oversee End-to-End AI Project Lifecycle:- Manage the entire lifecycle of AI and ML projects, from data collection and preprocessing to model deployment and monitoring. Ensure seamless integration of models into production environments, working closely with engineering teams.
Stay at the Forefront of AI and ML Research:- Continuously research and implement the latest advancements in AI and ML. Experiment with cutting-edge algorithms and techniques to improve existing models and explore new opportunities for innovation.
Collaborate with Cross-Functional Teams:- Work closely with product managers, engineers, and business stakeholders to identify opportunities where AI and ML can drive value. Translate business problems into data-driven solutions and communicate complex technical concepts to non-technical audiences.
Mentor and Develop the Data Science Team:- Provide leadership and mentorship to the data science team, fostering a collaborative and innovative environment. Conduct code reviews, provide feedback on model development, and promote best practices in Python programming and AI/ML methodologies.
If you're interested, please apply by emailing a copy of your most up to date CV and your current availability.Please feel free to pass this on to anyone you think it may suit/ anyone you know may be interested.Apologies if this is not wholly relevant, or at the desired level. Please feel free to view all of our jobs at www.forsythbarnes.com
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