Zebra Technologies Looking for Data Scientist, Advanced at Springfield, Illinois Full Time

Remote Work: Yes

Overview:
Zebra Overview:At Zebra, we’re reinventing how businesses operate at the enterprise edge – helping them run faster, smarter, and more connected than ever before. A dynamic community of builders, doers and problem solvers, we each play an outstanding role – crafting new technologies, bringing solutions to market, and participate with Companies on the front line of business. Joining Zebra means making your mark as we make digital transformation a reality.  It means growing into a leader at a leading company that makes a distinct difference – because together, we’ve only just begun. Build Today. Create Tomorrow. Join Zebra. 

Position Overview:

The Data Scientist, Advanced Position helps translate high level business problems into actionable and tangible Data Science 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. Work is accomplished without considerable direction. Exerts significant latitude in determining objectives of assignment to create tangible impact in driving success factors and great experience for our customers and product users.

This position is 100% remote and the ideal candidate can be based anywhere in the United States.

Responsibilities:

• Establishes requirements for highly complex data science constructs, statistical ML models, and decision support systems. 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.
• 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.
• 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
• May coordinate the activities of other personnel. Mentor, guide, leads and develop Data Scientists, Specialists within the team. Interacts with Cross-Functional teams to identify questions and issues for data engineering, ML models feature engineering.
• Network with key contacts outside own area of expertise, interacts with management on matters requiring coordination across organizational lines. Represent the organization as the principal customer contact and often performs project leadership. Interprets and communicates foresights, insights and findings from data science projects to others.

Qualifications:
Qualifications:

• Bachelor’s in Computer Science, Statistics, Economics, Mathematics, or related discipline. Master’s degree or Ph.D preferred.
• Preferably 8+ years’ experience as Data Scientist OR in related field (Statistics / Operation Research) or as System Architect / Enterprise Architect
• Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multi-disciplinary teams
• Knowledge of statistical programming techniques and languages (e.g., SQL, Python.)
• Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib)

Preferred Qualifications:

• Prior experience with Tensorflow
• Prior experience in Natural Language Processing using NLTK
• Retail industry experience desired
• Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure)
• Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark)
• Solid understanding of data structures, software design and architecture
• Ability to work independently and take initiative, but also a co-operative team player

 Zebra is an equal opportunity/affirmative action employer committed to a diverse and broad workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, ancestry, marital status, age, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at (url removed). The EEO is the Law poster is available here: (url removed). The EEO is the Law poster supplement is available here: (url removed). We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work.

Salary: USD (phone number removed) – USD (phone number removed) Yearly

Salary offered will vary depending on your location, job-related skills, knowledge, and experience.
Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards.