Principal Data Scientist

7 months ago

Remote, India InOrg Global Full time

**Job Description: Principal 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: Principal Data Scientist**

**Location: Remote**

**Overview**:As the apex of the data science hierarchy, the Principal Data Scientist will set the strategic direction for data-driven initiatives, ensuring alignment with organizational goals, and lead in the adoption of advanced technologies including Machine Learning, Deep Learning, and Generative AI.
- Strategically lead the planning and execution of data science projects, focusing on innovative solutions in Machine Learning, Deep Learning, and Generative AI.
- Act as a mentor and guide to the Data Science team, promoting a culture of excellence and innovation.
- Collaborate with senior leadership to integrate Data Science capabilities across the business, enhancing decision-making and operational efficiency.
- Drive the adoption of advanced analytical techniques and tools, ensuring the team remains at the forefront of technological advancements.
- Develop and oversee data models, algorithms, and predictive analytics that support business objectives.
- Ensure data quality and governance, promoting best practices in data management and security.
- Engage with stakeholders across the organization, translating complex data insights into actionable business strategies.
- Stay current with the latest advancements in data science, continuously enhancing skills and knowledge to drive innovation.

**Qualifications**:

- Master's Degree in Computer Science, Statistics, Mathematics, or a related field, with a strong focus on Machine Learning, Deep Learning, and AI.
- Demonstrated track record in leading data science projects and initiatives, with a portfolio of successful implementations.
- Extensive experience with Python and its libraries for data science (e.g., TensorFlow, PyTorch).
- Proven experience in developing and deploying large-scale machine learning models and solutions.
- Strong publication record in leading conferences and journals is a plus.
- Professional certifications in data science or related fields are advantageous.

**Skills**:

- Proficiency in Python is mandatory; familiarity with Business Intelligence (BI) tools, Data Engineering, Snowpark and Dataiku is a plus.
- Strong leadership, mentorship, and strategic thinking capabilities, with a demonstrated ability to inspire and develop a high-performing team.
- Exceptional communication skills, capable of conveying complex technical concepts to non-technical stakeholders.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is highly desirable.
- Strong analytical and problem-solving skills, with a track record of leveraging data to drive business improvements.
- Ability to manage multiple projects and priorities, ensuring timely delivery of high-quality data science solutions.

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.

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