data scientist salaries in tampa, florida

job summary: As a Data Engineer you will work in a team together with Data Scientists, Software Engineers and Product Managers to drive Innovation and Technical solutions into the practice. Data Engineers will focus on the design and build out of data models, codification of business rules, mapping of data sources to the data models (structured and unstructured), engineering of scalable ETL pipelines, development of data quality solutions, and continuous evaluation of technologies to continue to enhance the capabilities of the Data Engineer team and broader Innovation group. Minimum Year(s) of Experience: 2, preferably as a data engineer, business systems analyst, data analyst, or similar role. Minimum Degree Required: Bachelor's degree in one of the following: Accounting, Finance/Economics, Management Information Systems, Computer Science, Business Administration, Statistics Mathematics, Regulatory Compliance, Science, Technology, Engineering, Mathematics and/or other business field of study.  location: Tampa, Florida job type: Contract salary: $85 - 110 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Object-oriented/object function scripting languages:Python, R, C/C++, Java, Scala, etc.Relational SQL, distributed SQL and NoSQL databases:MSSQL, PostgreSQL, MySQL, etc.MemSQL, CrateDB, etc.MongoDB, Cassandra, etc.Neo4j, AllegroGraph, ArangoDB, etc.Big data tools such as Hadoop, Spark, Kafka, etc.Data modeling tools such as ERWin, Enterprise Architect, Visio, etc.Data integration tools such as SSIS, Informatica, SnapLogic, etc.Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.Business Intelligence Tools such as Tableau, PowerBI, Zoomdata, Pentaho, etc.Cloud technologies such as SaaS, IaaS and PaaS within Azure, AWS or GoogleLinux and comfortable with bash scriptingDocker and Puppet Knowledge Preferred: Working knowledge of Python and experience with data extraction, data cleansing and data wrangling;Working knowledge of SQL and experience with relational databases;Experience in codification of business rules (analytics) in one of the programming languages listed above;Experience working with business teams to capture and define data models and data flows to enable downstream analytics;Experience with data modeling, data mapping, data governance and the processes and technologies commonly used in this space;Experience with data integration tools (e.g. Talend, SnapLogic, Informatica) and data warehousing / data lake tools;Experience with systems development life cycles such as Agile and Scrum methodologies; andDemonstrating experience in API based data acquisition and management. Skills Preferred: Has built enterprise data pipelines and can craft code in SQL, Python, and/or RHas built batch data pipeline with relational and columnar database engines as well as Hadoop or Spark, and understands their respective strengths and weaknessesAbility to build scalable and performant data modelsPossesses strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrievalExperience with agile development processesExecution focused - knows how to get things donePossesses a keen analytical mind with attention to detail and accuracyExcellent verbal and written communication skills with ability to present technical and non-technical information to various audiencesExcellent organization and prioritization skills with strong ability to multitask and switch focus as necessary to meet deadlines and/or with change in prioritiesExperience working with large data sets and deriving insights from data using various BI and data analytics toolsAbility to think outside of the box to solve complex business problemsUnderstanding of the security requirements for handling data both in motion and at rest such as communication protocols, encryption, authentication, and authorization.Understanding of Graph databases and graph modelingUnderstanding of the requirements of data science teams   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: SQLData AnalysisData Warehouse Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

job summary: Hiring a Machine Learning Cloud Engineer -to assist Data Engineers and Data Scientists by solutioning environment resources; create services and workflow solutions for Solution Architects and Project Manager; and will be involved as a developer when there are gaps in coding skill sets for project development. Performing development including scripting and compiling languages and driving development to implementation. The Engineer needs to have Machine Learning knowledge and be able to run and deploy ML code in a variety of environments. Creating services and systems like applications and data pipelines from scratch and trouble-shoot and maintain them. Understand data transformation capabilities for a variety of solutions and utilize existing services, platforms, or solutions. Experience with Docker with build and deploy experience as well as familiarity with infrastructure as code.   location: SAINT PETERSBURG, Florida job type: Permanent salary: $150,000 - 178,000 per year work hours: 8am to 4pm education: Bachelors   responsibilities: Development in Java or Python and Nodejs along with Powershell or Bash Shell Scripting and Jupyter notebooks.Write asynchronous code like promises and futures utizling best code practices. Familiarity with package managers.Work with commonly used libraries in Machine Learning: AzureML, AWS (Amazon Web Services) boto3, tensor-flow, PyTorch and ML API/Estimators for AzureML and AWS Sagemaker. Perform Azure DevOps deployments, AWS CodeDeploy, AWS Code Pipeline, manual code deploys.Experience in creating/modifying Dockerfiles, familiarity with docker-compose, yaml configuration files.Experience using container orchestrators for services deployment; Kubernetes, DC/OS, Mesos, ECS, Fargate, Swarm. Familiarity with Docker registries. Familiar with various storage solutions: Data Lake, Data Warehouse, HDFS, relational databases (SQL Server, Oracle, MySQL, PostGres) and noSQL (such as ElasticSearch, DynamoDB, CosmosDB).Development of serverless functions like Lambda or Azure function, API Gateway, DynamoDB, CloudFormation templates, The Serverless Framework - free and open-source web framework written using Node.js or (AWS SAM) - AWS Serverless Application Model for AWS specific resources.   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Machine LearningPythonnodeJSBash Shell ScriptsAWSDockersAzure CGIBoto3sdkDynamo DB Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

job summary: We are seeking Sr. .Net Software Engineers with 8+ years of Microsoft .Net experience, including 2+ years with DevOps experience. This is a hands-on development role requiring a passion for building great software with our growing Engineering team. RESPONSIBILITIES - Participate in all phases of our Software Development Life Cycle (SDLC). - Ability to take ownership assigned tasks and execute them with excellenc - Code complex modules, including design and review activities - Translate requirements into high-quality, testable, scalable software - Identify performance issues and bugs, and devise solutions to these issues - Participate in team code reviews and design discussions - Be a team player and collaborate with and train others in the organization as needed  location: Tampa, Florida job type: Contract salary: $70 - 85 per hour work hours: 8am to 4pm education: Masters   responsibilities: Devops Engineer C#/.NET development background with Azure, AKS and Terraform Client is using Devops to drive CI/CD to mircroservices based architecture specifically microfrontend Desired skills, responsibilities, experience neededDemonstrates extensive knowledge and a proven record of success improving and managing the productivity of technology processes and business processes by creating highly automated workflows for software development and operations including the following areas: - CI/CD toolchains centred around tools such as Jenkins, Spinacker, Teamcity, etc. - Enabling DevOps tools such as Gitlab, Github, Artifactory, Sonarqube, Fortify/Veracode, Vault - Operations tools (e.g. Splunk, ELK stack, New Relic, App Dynamics, Data Dog) - Test automation tools (e.g. Selenium, Artillery) - Agile software development practices (esp. Scrum and Kanban) - Configuration management tools (such as Terraform, Chef, Puppet, Ansible) - Cloud infrastructure and container-based infrastructures - Lean IT principles and data driven approaches Minimum Year(s) of Experience: 8+ (overall IT experience), 3-4 (relevant DevOps/Toolchain experience) Minimum Degree Required: Bachelor's degree in Computer Science, IT or related field Degree Preferred: Master's degree in Computer Science, IT or related field Certification(s) Preferred: Google Cloud Platform GCP Qualified Developer or Amazon Web Services AWS certifications (Solutions Architect or Developer) Full job description, requirements, experience As the Senior DevOps Engineer you will lead our DevOps efforts and be hands-on in multiple domains - such as CI/CD toolchain, cloud environments, and tooling for digital operations. You will be working with our ventures and with technology partners and client technology teams to help our product teams deliver high-performing, highly-scalable, and cloud-optimized products that provide unique value to our customers. You bring great technical breadth and expert level experience in software engineering, DevOps, and cloud - combined with the ability to provide technical thought leadership and coach and direct more junior engineers. Responsibilities: Demonstrates extensive knowledge and a proven record of success improving and managing the productivity of technology processes and business processes by creating highly automated workflows for software development and operations including the following areas: - CI/CD toolchains centred around tools such as Jenkins, Spinacker, Teamcity, etc. - Enabling DevOps tools such as Gitlab, Github, Artifactory, Sonarqube, Fortify/Veracode, Vault - Operations tools (e.g. Splunk, ELK stack, New Relic, App Dynamics, Data Dog) - Test automation tools (e.g. Selenium, Artillery) - Agile software development practices (esp. Scrum and Kanban) - Configuration management tools (such as Terraform, Chef, Puppet, Ansible) - Cloud infrastructure and container-based infrastructures - Lean IT principles and data driven approaches Requirements: - A true team player within a fast paced environment - Acting as a lead in a rapidly changing environment including directing and coaching engineers - desire to keep learning, maintain own skill set, stay up to date and expand one's knowledge across the full stack - Desire to improve the 'status quo', especially automating and improving software development and operations processes to achieve massively higher delivery velocity and operations quality - Managing and analyzing existing processes to identify automation opportunities across multiple platforms and technologies - Collaborating with other Senior DevOps Engineers and engineering teams to design processes in the most efficient way to enable automation and machine learning in a culture of innovation; - Contributing to thought leadership through participation in the development of technology processes - Developing reporting to measure the effectiveness of the toolchain on dev and ops - Applying continuous independent judgement while collaborating with others, and influencing others within the project and domain teams - Providing in the moment feedback to other staff members to support a real time development culture - Building, maintaining, and leveraging relationships as well as expert level verbal and written communication skills - Having the flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change; Education Requirement: Minimum Year(s) of Experience: 8+ (overall IT experience), 3-4 (relevant DevOps/Toolchain experience) Minimum Degree Required: Bachelor's degree in Computer Science, IT or related field Degree Preferred: Master's degree in Computer Science, IT or related field Certification(s) Preferred: Google Cloud Platform GCP Qualified Developer or Amazon Web Services AWS certifications (Solutions Architect or Developer)   qualifications: Experience level: ExperiencedMinimum 7 years of experienceEducation: Masters  skills: DevOpsSQL Database developerCloudAzure Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.