Senior Data Scientist (225-928)

As a Senior Data Scientist, you will be pivotal in utilizing analytics and big data methodologies to drive significant insights and strategic decisions within our organization. You will lead analytical projects and contribute to the conceptual and technical design of scalable innovative solutions. Collaborating closely with business stakeholders, you will turn data into critical information and knowledge, crafting data-driven strategies that solve business challenges. Your expertise in statistical analysis, machine learning, and predictive modeling will be crucial for improving our data-driven decision-making processes. You will mentor junior data scientists, ensuring their professional growth and alignment with the company's goals. With a strong background in data science and a passion for discovering patterns and solutions hidden in large data sets, you will spearhead the pathway to data-driven success.

Responsibilities

• Lead and manage key data science projects across various departments.
• Develop robust prediction models to drive business objectives and efficiency.
• Collaborate with cross-functional teams to define and achieve data science goals.
• Analyze large datasets to extract meaningful insights for strategic decision-making.
• Create and improve machine learning algorithms suitable for business needs.
• Mentor and guide junior data scientists, fostering a collaborative team environment.
• Communicate findings and insights to non-technical stakeholders effectively.
• Design and implement A/B testing strategies to validate hypotheses.
• Develop and automate reports and dashboards to support operational needs.
• Stay updated with the latest industry trends and introduce innovative solutions.
• Ensure data integrity and accuracy across all statistical and analytical outputs.
• Drive innovation through advanced analytics and a data-driven approach.

Requirements

• Master’s degree in Data Science, Statistics, Computer Science, or related field.
• At least 5 years of experience in a data science or analytical role.
• Proficiency in programming languages such as Python, R, or Java.
• Strong knowledge of statistical methods and machine learning algorithms.
• Experience with big data processing frameworks like Hadoop or Spark is preferred.
• Excellent problem-solving skills and ability to communicate complex ideas clearly.
• Proven track record of managing and delivering data-driven projects successfully.