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About the Role

Our client, a cutting-edge financial technology firm, is seeking an innovative and experienced Lead Data Scientist to spearhead their data science initiatives. This position is fully remote, allowing you to work from any location while contributing to groundbreaking projects. You will lead a team of data scientists, guiding the development and deployment of advanced machine learning models, predictive analytics, and data-driven solutions that enhance product development, customer experience, and operational efficiency. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in machine learning and statistical modeling, and exceptional leadership skills. This remote-first role requires excellent communication and collaboration abilities to work effectively with cross‑functional teams.

You will be instrumental in shaping the company's data strategy and driving innovation through data. We are looking for a visionary leader who can translate complex data insights into tangible business value. This role offers significant autonomy and the opportunity to make a substantial impact.

Key Responsibilities

• Lead a team of data scientists in developing and implementing advanced machine learning models and algorithms.
• Design and execute data science projects from conception to deployment, including data mining, feature engineering, and model evaluation.
• Develop predictive models for customer behavior, risk assessment, and financial forecasting.
• Collaborate with product managers, engineers, and business stakeholders to identify opportunities for data‑driven solutions.
• Mentor and guide junior data scientists, fostering a culture of learning and innovation.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Communicate complex technical findings and recommendations to both technical and non‑technical audiences.
• Ensure the scalability, reliability, and efficiency of deployed data science solutions.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with at least 2 years in a leadership or team lead role.
• Proven expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong analytical, problem‑solving, and critical thinking skills.
• Excellent communication, presentation, and interpersonal skills, with the ability to lead effectively in a remote setting.
• Experience in the financial services industry is highly desirable.

Benefits

• Exceptional compensation package including base salary, bonus, and equity options.
• Full remote work flexibility with a generous home office allowance.
• Comprehensive health, dental, and vision insurance.
• Contribution to a retirement savings plan.
• Opportunities for continuous learning, attending top conferences, and professional development.
• Collaborative and innovative remote work culture.
• Access to state‑of‑the‑art data science tools and infrastructure.