Data Scientist

Data Scientist

New York, New York, United States

We are seeking a highly skilled Data Scientist to join our client, a leading product-based software company. This role leverages large volumes of data using modern tools and technologies to uncover insights, build predictive models, and contribute to strategic decision-making. It requires a blend of technical data science expertise, analytical problem-solving, and a passion for transforming data into actionable insights.

• Design and implement statistical models and machine learning algorithms to drive data-driven decision-making and support financial objectives.
• Optimize data strategies to reduce costs and improve data processing efficiency.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions that enhance customer satisfaction.
• Present findings to stakeholders, translating complex data insights into understandable business decisions to meet customer expectations.
• Lead data mining and collection strategies to improve data reliability, efficiency, and quality across the organization.
• Develop and maintain robust data pipelines and ETL processes to ensure seamless data flow and integration.
• Continuously evaluate and identify new technologies, tools, and data sets to enhance the analytics capabilities of the organization.
• Implement and oversee data validation and cleansing processes to maintain data integrity and accuracy.
• Collaborate with IT and software development teams to integrate data solutions into existing systems and workflows.
• Stay updated with the latest industry trends and technologies to continually improve data science practices and methodologies.
• Participate in training and certification programs to enhance skills and knowledge in data science and analytics tools.
• Mentor and train junior team members to build a strong data science culture within the organization.
• Engage in continuous learning opportunities to stay ahead of technological advancements and best practices in data science.

• Python, R
• SQL and database management systems
• Data visualization tools such as Tableau or Power BI
• Machine learning frameworks like Tensor Flow or Py Torch

• Masters degree or Ph.D. in Data Science, Computer Science, Statistics, or a closely related field.
• Certifications in relevant technologies and frameworks are advantageous.

• 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 Tensor Flow 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.

• Dynamic and collaborative environment with a focus on innovation and continuous improvement.
• Supportive team culture that encourages knowledge sharing and professional growth.
• Flexible work arrangements to support work-life balance.

• Accuracy and reliability of statistical models and predictive algorithms.
• Efficiency and effectiveness of data mining and collection strategies.
• Quality and clarity of data-driven insights presented to stakeholders.
• Adoption and impact of data-driven solutions on business processes and customer satisfaction.
• Continuous improvement in data science practices and methodologies.

• Competitive salary package with performance bonuses.
• Health insurance, retirement plans, and paid time off.
• Opportunities for continuous learning and professional development through workshops, courses, and conferences.
• Flexible working hours and potential for remote work…