5 Star Recruitment

What You'll Do As a Principal Data Scientist: Develop novel AI/ML solutions to further the companys mission of creating innovative and engaging content Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry Design, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges. Identify trends, patterns, and insights from large datasets to inform decision-making. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results Think creatively to solve complex problems Monitor and maintain the performance of ML models Research and stay up-to-date on the latest AI/ML trends and technologies Provide technical guidance and mentorship to other engineers Collaborate with data engineering teams to ensure the quality and accessibility of data Communicate insights and best practices in leadership Qualifications: You could be a great fit if you have: 10+ years of experience in data science, with a proven track record of leading and delivering successful projects Proficiency in programming languages such as Python, R, or Scala Expert-level experience working with scikit-learn, numpy, and pandas and other ML libraries. Solid understanding of ML technologies, models, mathematics and statistical methods Experience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus Required Citizenship / Work Permit / Visa Status Candidates must work W2, no Corp 2 Corp. US Citizen, Green Card Holder, H4-EAD, TN-Visa Must haves: 10 years in Data Science General computing (Python, R, Scala) Solid understanding of Machine Learning Technologies

A recruitment firm is searching for an experienced O9 Functional Consultant to assist with supply chain planning and enterprise system integration. Candidates should have a strong background, including at least 10 years in IT, with a minimum of 7 years' expertise in Kinaxis Rapid Response. A solid track record in O9 hands-on implementation is required. Responsibilities include designing tailored O9 solutions and collaborating with teams to integrate existing systems. This position is essential for enhancing operational efficiency in the supply chain.

We are seeking an experienced O9 Functional Consultant / O9 Configuration Consultant with strong expertise in supply chain planning and enterprise system integration. Requirements: Minimum IT experience: 10 years Kinaxis Rapid Response experience: 7+ years (mandatory) O9 experience: Minimum 5 years of hands-on implementation experience in SCM modules such as Demand Planning and Supply Planning Strong understanding of supply chain planning processes including demand planning, supply planning, S&OP, and inventory optimization Key Responsibilities: Configuration & Data Management Design and configure O9 planning solutions tailored to business needs Develop and configure data models to support planning processes and what-if analysis Identify and specify data sets required for planning Perform manual data uploads to the O9 platform Functional Support: Develop rapid Proof of Concepts (PoCs) to demonstrate O9 platform capabilities Present PoCs to stakeholders for feedback and validation Configure the O9 platform to align with defined business processes Technical Support & Integration: Collaborate with IT and supply chain teams to assess requirements and implement O9 solutions Develop and maintain integration flows between O9 and existing systems, including third-party applications

A leading recruitment agency is looking for a Principal Data Scientist in California. The successful candidate will have over 10 years of experience in data science and be proficient in programming languages like Python, R, and Scala. Responsibilities include developing AI/ML solutions and architecting data models. The ideal applicant should have expert-level experience with ML libraries and a solid understanding of machine learning technologies. Citizenship or work permit status must be adhered to, and the role does not accept Corp 2 Corp.

About the job Business Intelligence Architect Job Description: As a Business Intelligence Architect, you will be responsible for designing, solutioning, developing and leading developers creating reports and dashboards delivery to clients. Job Responsibilities: Architecting complex solutions based on clients custom requirements. Have deep expertise on ThoughtSpot Embed use cases and utilizing ThoughtSpot's REST API's and Visual Embed SDK to integrate ThoughtSpot with various custom applications. Create and maintain user/group and administer the ThoughtSpot cluster from a Data Admin perspective. Help the developers create and maintain reports and dashboards using Business Intelligence applications using IBM Cognos Analytics Create BI solutions leveraging data form Cloud data warehouses like Snowflake Write and maintain SQL queries to retrieve data from relational databases. Analyze and understand business requirements to design and develop effective reports and dashboards. Develop and maintain architectural blueprints, data flow diagrams, and technical documentation Define best practices for reporting, data visualization and analytics solutions Implement data security, role base access controls and compliance measures with BI platforms Conduct capacity planning and performance tuning for ThoughtSpot and Cognos environments. Collaborate with the business stakeholders to understand their information needs and provide insights. Provide technical support to end-users on report and dashboard related issues. Participate in project planning and provide input to the design and development process. Troubleshoot and resolve complex Cognos issues, providing expert-level support. Oversee the migration and upgrade of Cognos environments. Ensure adherence to timelines and budgets Qualifications: Bachelors degree in computer science or related field. Expertise with ThoughtSpot Embed and Visual SDK is a must 7+ years of experience in Business Intelligence and Analytics Tools. Minimum 7+ years of experience as a Cognos BI developer or architect Expert-level proficiency in IBM Cognos Analytics (11.x or later). Strong experience with Cognos Framework Manager, Report Studio, Dashboarding, and Analysis Studio. Solid understanding of data warehousing concepts, dimensional modeling Experience with SQL and database technologies (e.g., Snowflake, Oracle). Experience with Power BI, ThoughtSpot SaaS Experience with REACT is a plus Excellent analytical and problem-solving skills, with the ability to quickly learn and understand complex business processes. Strong knowledge of front-end Java Script and CSS. Strong attention to detail and the ability to work independently or as part of a team. Excellent oral and written communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders

A leading recruitment agency is seeking a Credit Strategy Data Scientist for their team in San Jose, California. The role involves driving projects related to credit risk assessment and data analysis, requiring strong skills in SQL, Python, and experience in risk analytics. The ideal candidate will collaborate with product and engineering teams and communicate complex data insights to stakeholders using visualizations like Tableau.

About the job Credit Strategy Data Scientist JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain. Key Job Functions Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Drive results that maximize eligible customers while controlling losses Professional Experience/Background to be successful in this role: Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Proficiency in SQL, Python, Excel including key data science libraries. Experience working with large datasets. Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes. Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics. Bonus: Experience with AWS, payment rule systems, and knowledge of credit products. Expected Outcome in 6-12 months: Development of dashboard and visualizations to track KPI of credit strategies implemented Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers. Utilize data analysis to design and implement credit strategies Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Preferred Skills: Data analytics Project Management Strong Communication Notes from Hiring Manager: Interview process: Multiple (At home screening, 1 technical interview with senior team member, 1 interview panel with hiring manager and team member). Team size: 5 team members, position will work closely with a senior team member at outset, role will largely focus on reporting, so experience with visualization and data storytelling is a plus. MUST HAVE: Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. Experience using statistics and data science to solve complex business problems. Proficiency in SQL, Python, Excel including key data science libraries. Experience working with large datasets. Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau. Desirable to have experience or aptitude solving problems related to risk using data science and analytics. Experience with AWS, payment rule systems, and knowledge of credit products.

Maintains high quality medical imaging equipment for our customers, including systems applications, quality checks, calibration, operating system help, software assistance, technical support, and issue troubleshooting. TECHNICAL SKILLS: Must have MR/CT experience. GE preferred but will consider candidates with Philips or Siemens. Must have formal training What You Will Do in This Role FIELD SUPPORT (75%) Troubleshoot high end medical imaging equipment. Establish and adhere to preventative maintenance schedules. Maintain customer service logs and internal service records. Solve issues with medical imaging applications, electrical components, computer hardware, and software, mechanical and hydraulic systems. Follow Health and Human Services, Environment Health and Safety and/or all other applicable regulatory requirements. Perform service, calibrations, and quality assurance check for an entire imaging system as per the ISO13485 standards. TECHNICAL SUPPORT (10%) Deliver technical support on high end medical imaging equipment online and or via telephone. Communicate daily with customers to ensure resolution and proper follow up. Maintain system performance by performing system monitoring and evaluation, and performance tuning; troubleshooting system hardware, software, networks and operating and system management systems; designing and running system load/stress testing; escalating application problems to Original Equipment Manufacturer (OEM). APPLICATIONS SUPPORT (5%) Interact regularly with radiologists, technicians, physicians, and other medical professionals to keep abreast of new and existing imaging solutions, issues and trends. SOFTWARE SUPPORT (10%) Provide continuous up time support for applications software issues associated with the X ray and Vascular modalities. Utilize Digital Imaging and Communications in Medicine (DICOM) for viewing, filming, archiving, networking, and database administration. Prepare users by designing and conducting training programs, providing software support and reference. Supply online and telephone support for Windows and Linux. What You Will Need for This Role Minimum 10+ years of high end medical imaging equipment maintenance and repair experience. High School Diploma or GED Must hold a current, valid, and unrestricted driver's license. Must have a safe driving record. Basic computer skills; understanding of computer networks and equipment interaction. Willingness to work flexible hours, including evenings, weekends, and holidays, as well as emergency off hours as needed to support a 24/7 schedule. Willingness to travel periodically to support business needs. The ability to lift, push and/or pull up to 75 pounds. The ability to often bend, stoop, twist, climb, crouch/squat, kneel/crawl, sit, stand and walk for extended periods of time. Required Citizenship / Work Permit / Visa Status Must-Have: CUSTOMER SERVICE;DATABASE ADMINISTRATION Min .5+ years as a FSE with MR/CT experience coupled with formal training