ABOUT US
ABOUT US
Focus Global Talent Solutions is a specialty IT staffing firm with a focus on three core areas of technology. The sectors we focus on are Artificial Intelligence and Data Science, Digital Marketing Technology, Analytics and Business Intelligence. Founded by Dave Fox, who has been working in the IT staffing space since 2010, Focus GTS brings a creative and consultative approach to helping both our clients and candidates. We understand finding the right talent (especially in a niche area) can be extremely difficult and navigating the waters of finding a new job can be challenging. Our mission is to make recruitment as painless and efficient as possible. It's that attitude that will shine through in every interaction with a member of our team.
SECTORS
LOOK AT OUR SECTORS
See our
LATEST VACANCIES
Data Scientist-Personalization
Position Summary: We are seeking a talented, experienced and inquisitive Data Scientist to design and implement cutting edge solutions across a breadth of domain areas. The ideal candidate is well grounded in a mathematical, statistical and probability background, with a broad knowledge of machine learning techniques and cognitive services. This Data Scientist will focus on guest personalization and be part of the growing Artificial Intelligence practice. This individual will work with a multidisciplinary team of driven people to deliver end to end solutions that improve guest experience and address pain points of the business across applications such as Recommendation Engines, Collaborative Filtering, Machine Vision, Clustering, Classification, Regression, Deep Learning, and/or statistical modelling. Essential Duties and Responsibilities: A successful candidate will be a person who possesses a strong background or operational familiarity in statistics, mathematics, modeling (predictive, forecasting, optimization), implementing/administrating graph databases, writing graph database queries and evaluating graph database query results. The candidate should also be capable of and willing to train and mentor colleagues on the proper use of graph databases to formulate data-intensive solutions. This individual will be responsible for analytical support, data mining, scripting / programming, mentorship and stakeholder presentation within the framework of implementing, utilizing and expanding Graph Database capabilities within the broader Data Science team. Major responsibilities include: Application of multiple forms of statistical (hypothesis testing, sampling, modeling, probability, time-series) and machine learning (neural networks / deep networks, ensemble methods, natural language processing) methods to describe, predict and optimize desired analytical objectives from business stakeholders. Manipulates high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends. Evaluate the progress of the data science team and company at large on the acclimation of Graph Database tools and techniques. Recommend steps to improve or enforce utilization of Graph Database methods. Empower and enhance the capabilities of the broader data science team on the proper structure, use and querying of graph databases through training, mentoring and project assistance as needed. Collaborate with IT, Business and Analytics stakeholders to design and implement Graph Database frameworks into the wider company data architecture. 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. Financial Responsibilities None Qualifications: Basic Qualifications Master’s degree in Statistics, Operations Research, Mathematics, Economics, Computer Science, Engineering, Physics, Chemical Engineering or field of comparable foundations in mathematical and statistical analysis through the use of models, algorithms or programmed solutions. 2+ years experience with any of the following programming languages: R, Python, Java, C++, C#, Scala, SAS or similar scripting languages. Similar experience and proficiency with SQL required. 2+ years experience with graph databases, including Neo4j, OrientDB, ArangoDB, MarkLogic, AllegroGraph or any comparable graph database framework. 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 ensembling methods. Strong Oral and Written skills. Preferred Qualifications 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 cloud computing frameworks or API’s such as Microsoft Azure and Amazon Web Services. Knowledge and Skills: Our ideal candidate: Must have a strong background in one or more of the following: Mathematics, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence. Has expertise in modeling, customer segmentation, analytical reporting, survey analysis, key driver analysis and dashboards. 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.
/ Miami, United StatesComputer Vision Engineer
We are looking for a computer vision engineer who will work with a cross-functional team in implementing computer vision solutions. The ideal candidate will be adept working with state of the art machine learning and computer vision tools. This individual must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Develop custom data models and algorithms to apply to data sets. • Work in tandem with Levatas's software development teams to implement models and monitor outcomes. • Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications • Expert level experience implementing object classification and detection with deep learning techniques (3 - 5 years experience preferred) • Familiarity with mapping and tracking algorithms, camera optics, image sensor technology, image filtering techniques, image analysis, and segmentation • Experience with TensorFlow, PyTorch, Keras, and OpenCV • Hands-on experience using cloud-based ML/AI platforms • Strong problem-solving skills with an emphasis on product development • General knowledge of a variety of machine learning techniques • Experience with a variety of Agile development methodologies such as Scrum, Kanban, TDD, Pair Programming • Effective verbal/written communication and presentation skills • A drive to learn and master new technologies and techniques • Masters or similar advanced degree in Computer Science or related field preferred
/ Palm Beach Gardens, United StatesManager Data Science
Position Summary: This position is responsible for maximizing onboard revenue for the world's largest cruise brand Royal Caribbean International as well as improving guest satisfaction of more than 5 million guests. The role oversees pricing optimization, casino marketing campaigns, pre-cruise marketing and sales strategies of over $1B onboard revenue. This position also provides analytical support to identify opportunities, develop and implement strategies to improve guest satisfaction across the fleet. The other aspect of the job is to manage all shipboard systems, develop various databases, and create models and reports to support daily operations, reporting, and data-driven strategies. Essential Duties & Responsibilities: • Oversee all systems in hotel operations and all activities regarding data needed for reporting and analytics. • Develop business cases in support of these strategies that effectively communicate the value and business relevance to stakeholders. • Establish project plans that outline project milestones regarding data automation, forecasting, optimization, or benefits measurements projects. • Ensure that modeling and analytic work in support of other teams initiatives is completed per project plans and timelines. • Create and manage effective working relationships with IT, marketing team, finance team, and operations team to ensure the most relevant ideas and techniques are implemented. • Create benefits measurement algorithms to determine ROI for operational initiatives and shipboard promotion strategies. • Develop and maintain the analytical tools and reports to support shipboard team in their day to day operations with ad hoc questions/inquiries. • Conduct revenue analysis including volume/rate (yield) relationships. • Identify and quantify opportunities to improve KPIs through information gathering and analysis. • Prepare quantitative and qualitative business case, evaluating new products, services, or providers. • Assists in the development of annual business objectives for casino and internet including the data driven modeling to back up and support such objectives. • Develop pricing and promotion strategies for internet to maximize revenue growth in all markets. • Optimize tour pricing and marketing initiatives to increase penetration and maximize revenue. • Work with Casino, marketing and revenue management teams to grow • VIP business in all markets. • Work with international markets to increase pre-cruise penetration to drive onboard revenue. • Analyze guest ratings to understand different drivers in different segments, and design and implement strategies to improve guest satisfaction and reduce the number of detractors. • Analyze food cost investments and guest ratings to guide where to invest to maximize guest satisfaction improvement. • Aid in the development of the annual operating & strategic plan update for the Royal hotel group. Job Requirements Qualifications: • Master degree in Industrial Engineering, Statistics, Economics or other quantitative discipline, or similar combination of education and experience required. • Ph.D. in Industrial Engineering or Operations Research preferred. • 5 to 8 plus years of experience in Operations Research or statistically related field, integrating mathematical concepts with business principles. • Experience in travel industry systems is preferred. • Strong knowledge of revenue management and demand forecasting. • Strong Operations Research modeling skills (simulation, optimization and linear programming, etc.). • Statistical modeling skills (regression, time series, machine learning etc.) • Database and analytical programming skills (including SAS and SQL, etc.). • Ability to assimilate ideas/concepts into data driven models and strategies. • Project management experience in organizing, planning and executing large-scale projects from conception through implementation. • Effective verbal and written communication skills. • Understanding of the business in order to validate findings and conclusions and ensure data integrity and accuracy at all times. • Understanding of database design and information systems, structure, functions and processes, and experience with database tools
/ Miami, United StatesConsumer Data Scientist
The Consumer Data Science organization works closely with our cross-functional partners, and Twitter's leadership to understand user behavior, inform product decisions, safeguard the health and integrity of our services, and to influence company strategy. We are currently hiring for the following subteams on Consumer Data Science. These high-impact teams value creativity, critical thinking, and teamwork. What You'll Do: Support the entire product development lifecycle from product ideation to opportunity sizing to measurement design to experimentation and causal analysis to post-launch learning and iteration into the next development cycle. "Design and implement experiments or other econometric methods to understand how changes to the platform affect user behavior." Build novel metrics, identify the impact of product and policies, and study causal impact of our Product launches and Health initiatives. Work in tandem with team members, applying advanced statistical methods; writing complex data flows using multiple languages/frameworks such as SQL, Scala (Scalding, Spark), Python; and using data visualization tools. Communicate findings to executives and cross-functional stakeholders. Cultivate relationships within our teams and with our partners. Who You are: You are a self-starter who is capable of learning on the job, taking initiative, and thriving within a large team. You are excited to learn and apply new data analysis techniques and tools. You are passionate about insights, not just data and methods. You are a strategic thinker and are able to synthesize technical concepts into actionable recommendations for a diverse audience. You communicate your findings clearly and effectively to a wide audience of relevant partners and are capable of building meaningful presentations and analyses that tell a story. You are rigorous, care about data quality, and strive to understand surprising results and underlying mechanisms in your analyses. You combine business insight with detailed data knowledge and statistical expertise to ensure an accurate interpretation of results. You are a capable mentor. You enjoy knowledge sharing and working with junior teammates to uplevel their skills and take the time to learn from them. You value teamwork and teammates. You contribute positively and meaningfully to cultivate an inclusive team culture. You are personable, empathetic, and able to connect with each and every person on the team and throughout the company. Skills: Requirements: Experience working with and analyzing large datasets to understand behavior, solve problems, and answer business questions. Strong knowledge of statistics. Experience using SQL, R, or Python for analysis, modeling, and data visualization. Keywords: Education: Masters or Ph.D. involving quantitative data analysis or commensurate work experience.
Contract / San Francisco, United StatesLead Data Scientist – R&D
Ph.D Research position
/ Miami, United StatesPower BI Analyst (Contract)
Design and develop Scorecards and Dashboards using Power BI and other data visualization tools for various organizational metrics and KPIs. ? Create new reports and modify existing reports using industry standards and best practices. ? Perform ad-hoc data analysis and manual data refreshes. ? Elicit business requirements from Subject Matter Experts using interviews, document analysis and requirements workshops. ? Use the gathered requirements to develop logic for reporting, analytics or IT application support. ? Develop manual/automated reporting programs using data from in-house systems or other data marts. ? Creates reports using SQL Server (2008, 2012, 2016) environment with an In-depth understanding of the report life cycle. ? Perform statistical analysis, build predictive models, and formulate decision models that relate operational activities to results; to drive value stream enhancement and continuous improvement. ? Understand data standards and identify data abnormalities. Instill data quality in all solutions delivered. ? Engage with IT to transform existing solutions to new methodology and technology. Liaise with IT to manage process of data mapping, UAT testing, etc. ? Maintain close alignment with all customers (internal, external, management and at the field level) and other data reporting teams to ensure requirements are being met. EDUCATION & EXPERIENCE: ? Bachelor degree or higher from a reputed university in engineering, IT, economics, math, statistics, science or other related fields in quantitative or analytical discipline. ? Minimum 5 years of experience in related business analyst or data/reporting analyst roles. SKILL: ? Excellent skill level in SQL, PL/SQL. ? In-depth experience with Microsoft analytics Stack (SQL Server, SSAS Tabular, Power BI, Power Query, DAX, SQL and T-SQL) o Advanced knowledge Power BI. o Proficient in DAX, M language. o Experience in Extraction, and Transformation and Loading (SSIS) o Experience in Tabular/OLAP Model (Microsoft SSAS) ? In-depth experience with Associated Development Tools - Visual Studios Data Tools, SQL Server Management Studio, SQL Server Data Tools, Microsoft TFS. ? Knowledge of working with database client tools such as Toad. ? Knowledge of Data Mining, Clustering & Statistical Modelling (preferred). ? Database Design. Excellent skill level in relational database required. Oracle, MS SQL Server knowledge. ? Proficient in Microsoft Office Suite and O365. ? Superior documentation and organizational skills. Must be detail oriented. ? Excellent critical-thinking skills with the ability to research and analyze data retrieved from multiple sources ? Must possess and demonstrate excellent verbal, written, and interpersonal communications skills. ? Must be an adaptable self-starter and work with minimal supervision. Must be able to handle multiple projects and organize time effectively. ? Must be willing to put in extra time and effort if need be. Go above and beyond the requirements of the job and strive to exceed expectations.
Contract / Boca Raton , United States