Data Scientist (Project Management)

Qualification Criteria:

• Any Graduate/Post-Graduate Degree in Computer Science or related specialization 60% above in academics
• Ready for 2 Year Training agreement (Only if the training is scheduled in Germany for a designated period)

Responsibility:

• Strategic Planning and Execution: Ability to develop and implement strategic plans that align with business goals, ensuring projects deliver tangible, strategic outcomes efficiently.
• Project Management (Across Roles): Combines the ability to articulate insights and project details with stakeholders, alongside managing project timelines, resources, and objectives effectively.
• Stakeholder Communication: Ability to communicate insights and recommendations effectively to stakeholders, ensuring alignment with business goals.
• Requirements Gathering: Skill in translating business needs into technical requirements for data engineers and in BI-specific language.
• Analytical & Statistical Skills: Proficiency in data analysis and statistical methods to derive insights from data.
• Business Intelligence Tools Expertise: Knowledge of BI tools (e.g., Tableau, Power BI) for creating reports and dashboards.
• Problem-Solving Skills: Ability to identify and define key business problems and opportunities where Data Analytics/Machine Learning/Generative Artificial Intelligence can provide solutions.
• Collaboration & Guidance: Skill in guiding analysts, data engineers and domain experts with domain-specific knowledge and ensuring analyses are aligned with business needs.

Requirements:

• Data science and ML knowhow
• Project planning and execution