Data Scientist

Summary

The client is a leading product-based software company creating innovative solutions to address complex business challenges and drive digital transformation. The Data Scientist will analyze large volumes of data, build statistical and machine learning models, develop scalable data pipelines, and translate insights into strategic business decisions while mentoring junior data scientists.

Responsibilities

• Design and implement statistical models and machine learning algorithms to analyze diverse sources of data and achieve targeted outcomes
• Lead data mining and collection strategies to improve data reliability, efficiency, and quality
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
• Continuously evaluate and identify new technologies, tools, and data sets to enhance the analytics capabilities of the organization
• Present findings to stakeholders, translating complex data insights into understandable business decisions
• Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity
• Ensure data accuracy and integrity by performing thorough testing and validation
• Apply statistical and machine learning techniques to solve complex business problems
• Create visualizations and dashboards to monitor and report on key metrics and trends
• Participate in code reviews to ensure code quality and adherence to best practices
• Mentor junior data scientists and provide technical guidance
• Contribute to the continuous improvement of data science processes and methodologies

Skills

• Masters degree or Ph.D. in Data Science, Computer Science, Statistics, or a closely related field
• Minimum 4 years of relevant experience
• Expert understanding of data science, machine learning, AI, and advanced analytics techniques
• Advanced proficiency in Python and R for statistical programming and model development
• Strong experience with SQL and database management systems
• Skilled in data visualization tools such as Tableau or Power BI to convey insights visually
• In-depth knowledge of machine learning frameworks like TensorFlow or PyTorch
• Ability to work with both structured and unstructured data from various sources
• Analytical and critical thinker with meticulous attention to detail
• Ability to work in a dynamic environment and adapt to evolving business needs
• Strong communication skills with the ability to explain complex solutions to non-technical stakeholders
• Team player who is also capable of working independently
• Certifications in relevant technologies and frameworks are advantageous

Qualifications

Must Haves

• Masters degree or Ph.D. in Data Science, Computer Science, Statistics, or a closely related field
• Minimum 4 years of relevant experience
• Expert understanding of data science, machine learning, AI, and advanced analytics techniques
• Advanced proficiency in Python and R for statistical programming and model development
• Strong experience with SQL and database management systems
• Skilled in data visualization tools such as Tableau or Power BI to convey insights visually
• In-depth knowledge of machine learning frameworks like TensorFlow or PyTorch
• Ability to work with both structured and unstructured data from various sources
• Analytical and critical thinker with meticulous attention to detail
• Ability to work in a dynamic environment and adapt to evolving business needs
• Strong communication skills with the ability to explain complex solutions to non-technical stakeholders
• Team player who is also capable of working independently

Nice to Haves

• Certifications in relevant technologies and frameworks are advantageous

Benefits

• Performance bonuses
• Health insurance
• Retirement plans
• Paid time off
• Opportunities for continuous learning and professional development through workshops, courses, and conferences
• Flexible working hours
• Potential for remote work arrangements
• Clear pathways for career advancement in a supportive environment aimed at fostering professional growth and exploration of new technologies in the field of data science