Data Scientist

Title: Data Scientist

Location: Orlando, FL (4 days onsite)

Duration: 12+ months

Compensation: $85.00 - $88.00/hr

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Skillset / Experience

• As a Data Scientist focused on Machine Learning your role will involve partnering with team members to identify, research, and create new modeling algorithms using AWS SageMaker.
• Familiarity with time series data and forecasting models is a requirement for this position.
• You will implement, troubleshoot, and optimize solutions based on modern cloud technologies.
• The right candidate will ensure proper security, design, coding standards and policies are followed. They should apply technical expertise to challenging programming and design problems.
• Strong communication, interpersonal and team skills, including the ability to work effectively in an agile environment. Demonstrated interest and ability to quickly learn new technologies.
• Develop reusable patterns and frameworks as part of the engineering process
• Design and engineer high-performance/large scale AI/ML and automation capability within projects that conform to existing software practices to produce maintainable code, automated testing, continuous integration, etc.
• Work with the business to optimize AI/ML algorithms, data transformations, data presentation, etc.
• Engage with various stakeholders to help drive AI/ML strategies and identify business problems that can be solved creatively utilizing data and AI/ML
• Ability to educate the organization on new approaches on testing hypotheses and statistical validation
• Ability to lead discovery processes with stakeholders to identify business requirements and expected outcomes
• Ability to cross train other team members

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science or 10 years of relevant experience 5 or more years of experience with AWS Cloud Technologies
• 3 or more years of experience with Artificial Intelligence / Machine Learning experience
• Statisical Modeling
• Forecast Modeling
• Python
• Ability to develop effective working relationships
• Possessing excellent interpersonal skills to include teamwork, facilitation, and negotiation
• Ability to work independently or as part of a team to resolve issues
• Effective written and verbal communication skills
• Demonstrate an ability to work under pressure, manage competing priorities and meet or exceed expectations regarding issue identification, resolutions and communication.

Preferred Qualifications

• AWS SageMaker, AWS SageMaker DeepAR, Jupyter Notebooks
• VPC, S3, EC2, Lambda, SNS, SQS, RDS, EMR, Nifi, Glue, Batch, Step Functions
• Kafka, AKS, Kinesis Streams, Kinesis Firehose, Spark Streaming
• AWS Certification
• Expert skills in data analysis and data mining
• Experience with project testing, implementation, and deployment activities across multiple, cross-functional teams

Required Education

Bachelor’s degree or 10 years relevant work experience

Our Benefits Package Includes

• Comprehensive medical benefits
• Competitive pay, 401(k)
• Retirement plan
• …and much more!

About INSPYR Solutions

As a leading technology solutions company, we connect top IT talent with clients to provide innovative business solutions through our IT Staffing, Professional Services, and Infrastructure Solutions divisions. There are four elements that set us apart and serve as pillars of our company philosophy: Quality, Expertise, People, and Relationships. By always striving for excellence in these areas and focusing on the human aspect of our business, we work seamlessly together with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities