Data Scientist, Advanced

Remote Work: No

Data Scientist for Managed Services helps translate high level business problems into actionable and tangible projects. Analyzes, designs, develops, implements and maintains data science constructs, algorithms, programs, Statistical / Machine Learning Models, decision support system, Artificial/Augmented Intelligence systems using structured, unstructured, diverse “big data” sources of from measurement systems, IoT, human observations to provide real life business problem solutions and product features/enhancements.

• Establishes requirements for highly complex data science constructs, statistical ML models, decision support systems and may lead a team for the same. Ensure correct constructs and “most suitable” models are incorporated in solutions, projects and products.
• Designs, Architects, Integrate highly complex data science projects. Completes all phases from data acquisition to incorporating into product/solutions. Follows through on all-in-process, final inspection and post production needs such as regular revision of the models / constructs for consistent fulfillment of business objectives.
• Drives reviews of the data science constructs, models and its implementation. Develops and applies customizations, improvements based on features data applicability and availability, constraints and consistent fulfillment of business objectives.
• Creates new data science constructs, models, algorithms, technologies, and solutions based on novel and unique ideas. Ensure that new ideas and methodologies are documented for use by Data Science and product engineering teams
• Uses status as a knowledge leader in data sciences and functional knowledge across multiple related disciplines and program management to provide data science and decision support systems leadership to a given program.
• Defines requirements, data science constructs and may design complex new models and decision support systems to aid in analysis and solving on complex business problems.
• Initiates cross-company collaboration and develops positive relationships with other disciplines of engineering, system integration, professional services, solutions architects etc.
• Exercises judgement (with broadly defined policies and practices) in selecting methods, techniques and evaluation criteria for obtaining results. Make effective decisions for “Build VS Buy” by using industry standard auto ML models, Commoditized Statistical and relevant ML models, AI models and algorithms for
  optimized solution
• Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, ML model features, Feature engineering / transformations to relevant stakeholders
• Interacts with Cross-Functional teams to identify questions and issues for data engineering, ML models feature engineering.

• Preferably 8+ years’ experience as Data Scientist OR in related field (Statistics / Operation Research) OR as System
  Architect / Enterprise Architect
• Design and conduct Analysis/Experiments (Plan Analysis and address competing explanations, Determine best way to evaluate results, Explore structured and unstructured data appropriately, Apply appropriate algorithms, Clearly document and articulate findings)
• Incorporate Analysis into pipelines and pipelines into business/Engineering stack (Read/write data to/from any format / location, incorporate complex matching and filtering
• Make work compatible with/suitable for engineering stack
• Discover needs of business
• Navigate Business organization structure, package technical work for diverse audiences)
• Problem Solving / Critical Thinking, Good business intuition
• Programming and Coding (Python / R)
• Great communication skills
• Proficient knowledge of English language

Benefits:

• 5 weeks of vacation, 5 sick days and 2 volunteer days paid off.
• Multisport card at a reduced price.
• Meal contribution.
• Monthly contribution 800 CZK/month in the form of credits on your Benefit plus card with cafeteria system where you can choose from wide range of activities/benefits from Health, Sports, Travel, Wellness, Development, Culture up to company Language courses.
• Training and personal development in soft skills and hard skills, access to our internal learning portal and internal career opportunities within Zebra departments.
• Annual bonuses based on financial results.
• Yearly salary increases according to individual performance.
• Employee referral bonus for bringing New Talent to Zebra.
• Free beverages and fruit days (coffee, tea, milk available in our kitchenette).
• Life & Pension insurance contribution.
• New modern and multifunctional workplace at Vlněna Office park in the city centre 
• Discount at our partners (Banks, HP, Dell, Microsoft Office).