Data Scientist

Job Description

• Partner with stakeholders in defining business problems, identifying challenges, discovering opportunities, developing and implementing recommendations from data driven solutions and insights.
• Prioritize, scope and manage data science project and the corresponding key performance indicators (KPIs) for success
• Understand new and existing data sources and process pipelines and catalog/documenting them.
• Apply statistical analysis and visualization methods and generate hypotheses about underlying mechanics of business processes.
• Develop and implement AI solutions leveraging big data (e.g., comprehensive internal and alternative data sources) and advanced analytic tools and techniques (e.g., R, Python, Power BI, Tensor flow, Keras, etc.) across the organization that will contribute to revenue, cost/loss reduction, risk treatment, and compliance.
• Apply various Machine Learning and advanced analytics techniques while integrating domain knowledge into the Machine Learning solution.
• Establish best practices around ML Operationalization or MLDLC
• Promote collaboration with other data science teams within the organization and encourage reuse of artifacts
• Present to stakeholders possible opportunities, recommended solutions and impact to the business, and implementation proposals.

Qualifications

Soft Skills:

• Employs multiple strategies for gathering information from key stakeholders.
• Communicate to stakeholders in a manner they understand - translating technical terms for the understanding of stakeholders
• Articulation to their work group - to understand the process as part of group

• Works closely with team members; Engages and contributes to suggestions on how to improve
• Managing own self - Level of accountability, ownership

• Has the ability to engage stakeholders in order to understand their perspective. Can put their perspective clearly. Works to identify possible compromises.
• Appropriately communicate results

• Demonstrates the ability to assess the available information, make a decision and act on it.

• Proactive, with initiative and Project Management skills

Technical Skills:

1. Basic Knowledge on Coding Skills, Data Management, Distributed Computing, Machine and Deep Learning, Storytelling and Visualization, Math and Statistics, AI Technical Skills
2. Application Experience: 2+ years of experience
3. Business and Industry Knowledge:

• Basic knowledge of the industry
• Has an understanding of the key products, services and markets of the organization.