Senior Data Scientist 24D25

The role of a Senior Data Scientist is pivotal in harnessing the potential of data to drive decision-making processes within an organization. At this level, you will be expected to leverage your expertise to manage and analyze vast data sets, develop predictive models, and contribute to strategic initiatives. As a Senior Data Scientist, you're not just expected to apply advanced statistical techniques but also to communicate complex concepts to non-technical stakeholders effectively. This role requires a blend of technical prowess, strategic insight, and leadership abilities. You will be part of a dynamic team that's at the forefront of innovation, collaborating across departments to foster a data-centric culture. Your passion for data science, combined with your extensive experience, will help mentor junior team members and drive the company’s objectives forward in the competitive landscape.

Responsibilities

• Design and implement advanced machine learning models for predictive analytics.
• Lead data mining and collection procedures to enhance data acquisition strategies.
• Translate complex data into actionable insights for stakeholders and management.
• Collaborate with cross-functional teams to integrate data-driven solutions into workflows.
• Ensure data integrity and accuracy through detailed validation and cleaning processes.
• Develop and maintain scalable ETL (Extract, Transform, Load) pipelines.
• Present findings and recommendations in a clear manner via reports and presentations.
• Stay abreast of the latest advancements in data science and AI technologies.
• Mentor and guide junior data scientists and analysts in advanced methods.
• Lead projects from ideation to deployment, ensuring timely delivery and quality.
• Drive innovation by exploring and proposing new tools and technologies.
• Evaluate and select appropriate algorithms and tools for different business challenges.

Requirements

• Master’s degree or PhD in Computer Science, Statistics, or related field.
• A minimum of 5 years of experience in data science or analytics roles.
• Proficiency in programming languages such as Python, R, or Scala.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of data visualization tools like Tableau or Power BI.
• Excellent problem-solving skills with the ability to analyze complex data sets.
• Effective communication skills for technical and non-technical audiences.
• Proven experience in leading projects and managing cross-functional teams.
• Understanding of cloud platforms like AWS, Azure, or Google Cloud Platform.