Job Description: Data Scientist

About InOrg Global:

InOrg Global helps organizations achieve global competitiveness through seamless integration of talent, technology, and strategic capabilities.

As a Global Capability Center Partner to companies of all sizes, from startups to Fortune500s, InOrg Global augments clients capabilities to rapidly scale their teams and meet evolving business demands.

Our Core Values:

Trust: We prioritize building trust in every aspect of our business, fostering relationships based on integrity and reliability.

Transparency: We believe transparent practices ensure accountability, build credibility, and foster a culture of trust and collaboration

Adaptability: We thrive in dynamic and evolving environments, embracing change with flexibility and resilience

Innovation: Innovation is at the heart of everything we do. We encourage creativity, curiosity, and forward thinking to drive continuous improvement and solve complex challenges

System Designation: Data Scientist

Location: Remote

Experience: 1 – 3 Years

Overview: Data Scientist plays a critical role in developing advanced analytics models to solve complex business problems, leveraging expertise in Machine Learning, Deep Learning, and AI.

Job Description:

  • Develop and implement statistical models and machine learning algorithms to address complex business challenges and drive data-driven decision-making.
  • Perform exploratory data analysis, data cleaning, and preprocessing to prepare datasets for effective modeling and analysis.
  • Collaborate with team members and stakeholders, ensuring the successful deployment and integration of data-driven solutions within business processes.
  • Actively contribute to the team's knowledge sharing, providing guidance and mentorship to junior data scientists and fostering a collaborative learning environment.
  • Conduct model evaluation and validation, ensuring the accuracy, robustness, and reliability of developed models.
  • Stay updated with the latest advancements in data science, machine learning, and AI technologies, applying new techniques and tools as appropriate.


  • Master’s degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Deep Learning, and AI.
  • Proven expertise in Python and its data science libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with Business Intelligence (BI) & Data Engineering concepts and tools.
  • Familiarity with data platforms such as Snowpark and Dataiku is preferred.


  • Proficiency in Machine Learning, Deep Learning, and AI concepts and techniques, with practical experience in developing and implementing models.
  • Expertise in Python, including extensive experience with libraries like TensorFlow, PyTorch, and other relevant tools.
  • Strong analytical and problem-solving skills, with the ability to tackle complex data challenges and derive meaningful insights.
  • Effective communication skills, capable of clearly conveying complex concepts to both technical and non-technical stakeholders.
  • Domain knowledge in a particular industry, with the ability to apply technical skills to solve real-world problems and enhance business processes.
  • Ability to work collaboratively in a team environment, with a proactive approach to knowledge sharing and mentorship.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Understanding of cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is advantageous.

InOrg Global is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences.

If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team