Data Scientist

Location: New York (USA) Bangalore Delhi

Mode of Work: Remote

Brief Overview of the Job Description:

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

Key Responsibilities:

• Design and implement statistical models and machine learning algorithms to drive datadriven decisionmaking and support financial objectives.

• Optimize data strategies to reduce costs and improve data processing efficiency.

• Collaborate with crossfunctional teams to understand business needs and provide datadriven 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.

Technologies to be Used:

• Python R

• SQL and database management systems

• Data visualization tools such as Tableau or Power BI

• Machine learning frameworks like TensorFlow or PyTorch

Qualifications:

• Masters degree or Ph.D. in Data Science Computer Science Statistics or a closely related field.

• Certifications in relevant technologies and frameworks are advantageous.

Knowledge:

• Expert understanding of data science machine learning AI and advanced analytics techniques.

Skills:

• 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.

• Indepth knowledge of machine learning frameworks like TensorFlow or PyTorch.

• Ability to work with both structured and unstructured data from various sources.

Attitude:

• 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 nontechnical stakeholders.

• Team player who is also capable of working independently.

Work Environment:

• 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 worklife balance.

Key Performance Indicators:

• Accuracy and reliability of statistical models and predictive algorithms.

• Efficiency and effectiveness of data mining and collection strategies.

• Quality and clarity of datadriven insights presented to stakeholders.

• Adoption and impact of datadriven solutions on business processes and customer satisfaction.

• Continuous improvement in data science practices and methodologies.

Salary and Benefits:

• 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 arrangements.

Company Overview:

Our client is a leading productbased software company dedicated to creating innovative and efficient solutions that address complex business challenges. Their suite of products enhances operational efficiencies and drives digital transformation empowering businesses to achieve sustainable growth and competitive advantage.

Diversity Policy:

We are committed to creating a diverse environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.

Career Growth:

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.

Remote Work :

No