Position: Data Lead
Company: Data Science UA
Experience required: 5y
Category: Data Science
English level: upper
Published: 2020-02-01T00:00:00+02:00

Key Responsibilities
- Conduct research and analysis into consulting and advisory products to augment industry-standard models and develop new market offerings for company
- Incorporate new, cutting-edge business intelligence and machine learning practices into a wider organization to drive efficiencies and generate revenue
- Lead sessions and meetings to drive analytics roadmap, long-term strategy with quarterly milestones and outlook
- Keep up-to-date on the latest trends and innovation in data science tools and techniques and how these trends apply to company's business and data strategy
- Lead coordination with team members, subcontractors, and cross-division teams. Ensures all project work is completed on time, in line with contract requirements, client expectations, and  company's standards.
- Recruit top talent in analytics and ML to develop strong teams based on the growing needs of the business
- Consult with business partners to understand problems and goals, understand the business value, and translate into business opportunities to be captured through analytics solutions
- Support all aspects of the analytic process, including data acquisition, wrangling, storage, modeling, presentation, deployment, and optimization.

Additional responsibilities
- Cultivate open and clear communications across team members and stakeholders
- Establish a center of excellence on advanced analytics to provide best practices and thought leadership across the organization
- Perform other duties and/or special projects as assigned
- Uphold company's code of ethics and business conduct.

Hard Skills
- 3+ years of experience with leading the development of advanced analytic capabilities
- Experience acquiring and organizing data in cloud and and on-premises environments
- Knowledge of statistics, including common pitfalls in modeling and data analysis, sampling and data augmentation techniques, and the mechanics of common ML algorithms and loss functions
- Proficiency at absorbing large volumes of complex information, and presenting it in a clear and concise manner to all levels of management
- Proficiency in Python to develop shareable software with the appropriate technical documentation.
- Strong working knowledge of SQL and architecting relational databases. NoSQL is a plus
- Understanding of ETL tools and techniques, how to map transformation and flow of data from a source to a target system;
- Strong BI tool experience and knowledge (Power BI preferred)
- Excellent business performance management skills. Ability to deploy and manage resources, to achieve/exceed objectives in a dynamic operating environment

Skills Desired
- Experience with data strategy, governance, stewardship, data management, and data quality programs
- Experience in a professional services firm, an internal strategy/analytics group, or similar environment
- Experience with Microsoft Azure
- MBA

Soft Skills
- Self-driven with strong collaborative profile with a sense of ownership, trustworthy and high-level contributor to the “big picture”, launching data science solutions for real-world applications
- Superior verbal and written communicator, an expert on public speaking and presentations, translating complex mathematical and modeling to the non-expert and non-technical users
- Excellent English verbal and writing skills for complex communications with colleagues at all levels of the organization
- Comfortable dealing with all types and levels of stakeholders and team members to understand and accomplish objectives
- Experienced in working across a matrixed organization; multi-regional experience preferred.