Data engineer [h1.location_city]

Job# : 3022138

Job Description :

Apex Systems, a World-Class Technology Solutions Provider, is seeking applicants for the below position on behalf of our client. Please apply if interested and qualified. Please note that only qualified candidates will be contacted.

Position : Data Scientist

Location : Miami, FL or Remote

Duration : 6 Month Contract with potential conversion or extension

Position Overview : POSITION SUMMARY :

Royal Caribbean is seeking a seasoned, experienced, and inquisitive Data Scientist that will lead our Research & Development initiatives and assimilate new, cutting-edge technologies into our broader Artificial Intelligence and Machine Learning capabilities. The position demands an inquisitive individual who can direct a team of other data scientists and machine learning professionals to deliver.

This Data Scientist will focus on architecting, deploying, and evaluating the feasibility of emerging technologies within the fields of Data Science, Artificial Intelligence and Machine Learning. They are expected to work independently and in collaboration with other Data Scientists to explore new capabilities that will continue to keep Royal Caribbean Cruise Lines ahead of its competitors in this space. While research oriented, the success of role will be dependent on the tangible value their efforts and the efforts of the Data Science team will add.

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ESSENTIAL DUTIES AND RESPONSIBILITIES :

• A successful candidate will possess a strong background, either professionally or academically, in statistics, mathematics, artificial intelligence, research methods, experiment design, developing novel solutions beyond the use of well-established methods, and taking new technologies to a prototype state that can be expanded into a robust product.
• The candidate should demonstrate a progressive maturation of prior research projects, publications, patents, or similar capabilities in the field of applied research.
• This individual will be responsible for scripting / programming, mentorship, stakeholder presentation, collaboration with other team members to execute a research experiment within the framework of implementing, utilizing, and expanding R&D capabilities within the broader Data Science team.

Major responsibilities include :

Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to Royal Caribbean Cruise Lines, data science and AI ecosystem.

Must be comfortable doing so with little or no documentation or reliance on research articles and papers.

Evaluate the progress of Data Scientists, the AI & Robotics team, and company at large on the acclimation of research methods towards the rapid delivery of experimental technologies to a prototype state.

Execute these objectives with respect to both purely exploratory endeavors as well as established products requiring novel ingenuity to meet known stakeholder objectives.

Manipulates high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends.

Empower and enhance the capabilities of Data Scientists and the AI & Robotics team as whole to properly design R&D explorations, rapidly experiment with, prototype, and demonstrate the viability of in-house research.

Collaborate with Digital, IT, Business stakeholders to design and implement R&D prototypes into broader automated systems and establish a Minimum Viable Product.

Assist with research related to customer based analytical practice and develop communications for management and strategies for building institutional knowledge. Work with product and enterprise teams via both Agile and Waterfall Methodologies.

Foster a `data-driven culture based on pragmatism and strategic decision through rigorous factual analysis at all levels. Should be willing to engage outside the immediate team to expand data science footprint throughout organization.

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QUALIFICATIONS : BASIC QUALIFCATIONS

Master’s degree required in Statistics, Operations Research, Mathematics, Economics, Computer Science, Engineering, Physics, Chemical Engineering, or field of comparable foundations in mathematical and statistical analysis using models, algorithms or programmed solutions.

5+ years’ experience with any of the following programming languages : R, Python, Java, C++, C#, Scala, SAS, MATLAB, or similar scripting languages. Similar experience and proficiency with SQL required.

5+ years’ experience across a breadth of data science, AI and machine learning disciplines including, but not limited to forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision

5+ years designing experiments and researching novel solutions beyond established literature or documentation

Experience with data mining processes (SEMMA, CRISP-DM), data preparation, consolidation, imputation, transformation, interaction, variable reduction, modeling, maintenance, and post-mortem analysis.

Experience with statistical methods such t-test of means, Tukey-HSD tests of means on groups, ANOVA, Proportion tests, data normalization and scaling, univariate and multivariate outlier detection.

Experience with modeling techniques such as linear models, decision trees, neural networks, k-nearest-neighbor, support vector machines, cluster analyses, and assembling methods.

Strong Oral and Written skills.

PREFERRED QUALIFCATIONS IN ADDITION TO BASIC QUALIFCATIONS

degree in a quantitative field preferred, but will also consider candidates that are currently enrolled in a program

Experience with Agile Software Development

Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM and management sciences / statistics highly desired

Experience with Deep Learning tools and packages such as TensorFlow, Keras, H2O, and Theano

Experience with frameworks and languages designed for big-data analysis, including Hadoop, Spark, Hive, and Pig

Experience with cloud computing frameworks or API¿s such as Microsoft Azure, Amazon Web Services, and IBM / Watson

Must have published articles in a peer-reviewed scientific or academic journal, or filed patents in the fields of data science, artificial intelligence, or machine learning

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KNOWLEDGE AND SKILLS :

Must have a strong background in one or more of the following : Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.

Demonstrates a strong capacity for learning and assimilating new techniques, tools, and methods.

Comfortable with preparing or collaborating on presentation decks as well as delivering final stakeholder presentations as primary or supporting presenter.

Has knowledge and can quickly ramp-up and leverage cloud-based cognitive service APIs such as Microsoft Azure, AWS and / or IBM Watson.

Is passionate about your work, but willing to support several projects at one time and can accept reprioritization as necessary.

Comfortable delivering within an agile program.

MUST Haves :

Python

Data science familiarity

NICE TO HAVES :

ML engineering- for eCommerce role

Please note that as a contract employee of Apex Systems, benefits include the below with employee contribution

Health

Dental

Vision

Life Insurance; Short Term Disability

Hospitalization Coverage

Direct Deposit

Weekly Pay Periods

Training and Development Programs

401k

Referral Program

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details.

Apex Benefits Overview :   Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses / books / seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Apex team member can provide.