Senior Data Scientist (225-715)

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in data science, analytics, and machine learning. As a Senior Data Scientist, you will play a crucial role in analyzing large datasets to derive meaningful insights, building predictive models, and making data-driven recommendations to improve business outcomes. You will collaborate with cross-functional teams, including product, engineering, and operations, to solve complex business challenges. This role requires a strategic thinker with a creative problem-solving mindset, capable of working independently as well as leading junior data scientists. If you are passionate about transforming data into actionable insights and driving organizational success, this is the perfect opportunity for you.

Responsibilities

• Develop, implement, and optimize advanced machine learning models for business needs.
• Conduct data analysis and create data-driven reports to support decision-making processes.
• Collaborate with engineering teams to deploy models into production environments efficiently.
• Design and conduct experiments to validate hypotheses and enhance data solutions.
• Lead and mentor junior data scientists to foster their growth and development.
• Translate complex data findings into actionable insights for non-technical stakeholders.
• Work closely with product managers to integrate data science solutions in product development.
• Identify new data opportunities and lead initiatives to achieve strategic business goals.
• Ensure data quality and integrity through various data validation techniques.
• Communicate results and insights in a clear and concise manner to stakeholders.
• Stay updated with the latest trends in data science and technologies.
• Participate in cross-functional projects to enhance business strategies and outcomes.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Data Science, or related fields.
• Minimum of 5 years of experience in data science or analytics roles.
• Proficiency in programming languages such as Python, R, or SQL is required.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong knowledge of statistical methods, predictive modeling, and data mining techniques.
• Excellent communication skills to convey complex ideas to technical and non-technical audiences.
• Proven experience in leading data science projects and mentoring junior team members.
• Ability to work with large datasets and utilize big data technologies like Hadoop or Spark.
• Strong problem-solving skills and a knack for analytical thinking and strategic foresight.
• Desire and ability to work in a fast-paced, collaborative, and ever-evolving environment.