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.
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Lead Data Scientist
Position Summary: Spearheads the analysis and examination of the business to define needs and/or opportunities; leading the gathering, and analysis of data and formulating a recommended course of action. The primary area of focus is leveraging existing Data Science initiatives or deploying new models or AI technologies. This role is responsible for seeing projects through from start to finish while leading a team of analysts and managing resources across the technical divide. Has responsibility for all areas within the global contact centers to define metrics that will assist the business with goals as set forth by organization leaders in a global context. Understands, analyzes and documents data to deliver informative, well-organized presentations to senior and executive management regarding processed forms i.e. guest satisfaction, enrollments, guest demographics, employee satisfaction, etc. Leads the development of functional and system specifications. Essential Duties and Responsibilities: Develop and maintain demand forecasting model (time series, regression, segmentation models etc.) Use non-linear regression models to develop price elasticity models Knowledge of linear and integer optimizations Knowledge of Machine Learning, Deep Learning, Neural Networks Knowledge of Voice Analytics and Text Mining Manage the relationship with other analytical teams in the company and IT to design, and implement analytical projects Project management experience to identify business needs, translate business needs into technical requirements, and implement analytical models to meet project deadlines. Perform algorithmic modeling contact center workforce management and work closely with the OCU and finance teams. Integrate with external data sources to discover interesting trends. Design rich data visualizations to communicate complex ideas to internal and external teams. Design and manage data QA and validation using automation and best practices. Collaborate directly with teams/individuals across the company to facilitate the design, research, development, and delivery of data statistics, models and client deliverables. Take ownership of the various components of Data Science Life cycle: Data Wrangling, Feature Engineering, Data Visualization (discovery), Model Generation, Implementation and Maintenance. Continuously get better - seek out opportunities to further develop our analytical, engineering, statistical, etc. toolkit Respond to ad-hoc data and analysis needs while supporting various projects. Conduct analyses of business data, evaluate trends and pattern changes, and learn to disperse results in a format appropriate for the audience. Financial Responsibilities Support reporting, systems and modeling of current and expected revenue & bookings to support daily and strategic decisions and analyses. Qualifications: Master’s degree in Operations Research, Industrial Engineering, Statistics or Management Science is preferred. Bachelor’s degree from four-year College or university required (in Operations Research, Industrial Engineering, Statistics, Management Science or related field). Post-grad experience as a Data Scientist, preferably 3+ years of experience, including experience designing statistical models. Equivalent combination of education and experience will be considered. Demonstrated experience with AI technologies such as speech analytics, sentiment analysis, chatbots, etc. Knowledge and Skills: Database and analytical programming skills (including SAS or R, SQL, Python, etc.) Experience with text analytics and artificial intelligence models Ability to assimilate ideas/concepts into data driven models and strategies. Strong Operations Research modeling skills (optimization and linear programming, etc.). Statistical modeling skills (regression and forecasting, etc.) Advanced Excel skills Ability to present information to executive management, internal and external customers Ability to work with mathematical concepts such as probability and statistical inference. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations. Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form. Ability to collect, analyze, and interpret revenue performance data Ability to structure logically quantitative analysis of complex issues 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. Ability to work in a fast-paced environment while managing multiple projects and responsibilities at once Expertise in data visualization
/ San Francisco, United StatesKnowledge Graph Developer
Essential Duties and Responsibilities: A successful candidate will have hands-on experience with graph database and web applications and the desire to work in a high performing and faced-paced team. Excellent analytical and problem-solving skills are a must as well as a track record of taking complex concepts and implementing practical solutions. Major responsibilities include: Lead the design, development, testing, and deployment of a graph database solution. Design and develop graph data models in accordance with leading practices for our use cases. Work with system owners and data engineers to identify and integrate with data sources used to hydrate the knowledge graph. Create and manage queries to pull insights from the knowledge graph. Optimize for high performance, efficiency, scalability, and stability of the database. Define the database architecture and development best practices. Assume the role of a trusted-advisor, offering technical insights to the team and business stakeholders. Qualifications: Basic Qualifications BS degree in Computer Science or related technical field, or equivalent practical experience. 4+ years of proven working experience as a software developer or data engineer. Strong track record of delivery using graph databases such as Neo4j, TitanDB or OrientDB. Fluency with graph query languages such as Gremlin, Cypher, SPARQL. Preferred Qualifications Experience in designing, creating and maintaining recommendation engines. Experience in Java / Scala development. Knowledge of a scripting language like Python or Ruby. Strong experience with RESTful API interfaces and microservice architectures. Knowledge of statistics and experience using statistical packages for analyzing large datasets (R, Excel, SPSS, SAS etc) Experience with Microsoft Azure or Amazon Web Services (AWS) Experience with Agile software development. Knowledge and Skills: The ideal candidate has: Experience in developing knowledge-based systems in different contexts such as information retrieval, intelligent agents, dialog systems and recommendation systems. Experience in scalability and performance issues concerning very large knowledge stores. Experience with information extraction through creation of an application layer. Experience developing REST / JSON applications and multi-threaded applications. Strong background in computer science: algorithms, data structures, concurrency, and distributed systems. Strong OO Programming and OO Design knowledge. Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations. Technical expertise regarding data models, database design development, data mining and segmentation techniques. Technical capabilities with Cloud Services and Micro Services Patterns, API Management, Azure and AWS Services. Strong communication (verbal and written) and collaboration abilities in addition to technical depth. Comfortable delivering within an agile program.
/ Miami, United StatesData 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 States