Cogent Data Solutions Llc Jobs in Usa
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**Direct Hire***
• Title: Digital Technology Data Scientist Lead
• 2 positions
• Start Date: asap
• Compensation Range: $139,800.00/year, up to 10% bonus
• Location: Oshkosh, WI strongly preferred. New Hudson, MI site will also be considered. (3 days in office, up to 2 days remote).
• Relocation offered to Oshkosh, WI, but not to New Hudson, MI.
• Travel: minimum travel (1-2 times per year to other sites)
• US Citizen or Green Card Holder
• Interview process: Screening interview with internal recruiter, after an assessment, an interview with the hiring manager and director, then a panel interview (onsite possible if local to Oshkosh).
**Must have on resume and be able to discuss during interview process**
• Required technical skills (see below in JD)
• Strong business experience working with business counterparts.
• Effectively being able to gather business requirements, build a solution, communicate it to the client.
• Exceptional communication skills.
• Be able to tell a story with data.
• Must be able to describe how their experience impacted the business, the solution they built.
• An understanding that they are working in a bigger environment; must have a center of excellence outlook, be comfortable with mingling with counter business parts and have strong social skills. This is not a "put your head down and work" role.
• Experience from manufacturing, automotive, industrial, or engineering industry is preferred, but is open to other industries like healthcare, retail, or biotech for example.
Heavy financial industry experience should be avoided.
• Supply chain functions experience is important
• B.S. with 5 years of experience
• M.S. with 3 years of experience
• The team is not looking for director level candidates or talent only looking for management roles. This is an individual contributor role.
Job Description:
At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.
SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.
YOUR IMPACT:
• Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.
• Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns.
• Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.
• Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.
• Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products.
• Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. • Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
• Coach and mentor other team members on new technologies and best practices across data science and business intelligence.
• Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. • Actively supports the advancement of the strategic roadmap for data science.
MINIMUM QUALIFICATIONS:
• Bachelors degree with five (5) or more years of experience in the field or in a related area.
STANDOUT QUALIFICATIONS:
• Masters or doctorate degree
• Expertise in Power Platforms
• Familiarity with LLM (open source or closed)
• Experience in Front end web app development (Flaskapp, Gradio etc)
• Familiarity with RAG architecture
You must be able to work in the U.S. without sponsorship. No C2C or 3rd parties, please.
Data Center Construction Manager in Hartford, CT
$65/hr. – $75/hr.
Contract role, on-site
Regional travel required / extended onsite assignments
We are currently seeking a Data Center Construction Manager to lead large-scale data center construction projects throughout Connecticut. This role is ideal for a hands-on construction leader with deep technical knowledge and a strong track record delivering mission-critical facilities.
What You’ll Be Responsible For:
- Lead end-to-end execution of large-scale data center construction projects
- Manage civil/site work, structural activities, and full MEP coordination
- Oversee commissioning activities and ensure readiness for turnover
- Direct and coordinate multiple subcontractors while maintaining schedule, budget, and quality
- Enforce site safety programs and ensure compliance with all regulatory requirements
- Collaborate closely with owners, vendors, utilities, inspectors, and internal teams
- Track progress, resolve field issues, and drive projects to successful completion
- Support extended onsite assignments and regional travel as required
What We’re Looking For:
- Proven experience managing data center construction projects
- Strong background in civil/site work, MEP systems, and commissioning
- Experience with Primavera P6
- Demonstrated success managing subcontractors, schedules, budgets, and safety programs
- Excellent communication skills with owners, vendors, utilities, and internal stakeholders
- Ability to operate effectively in fast-paced, high-visibility environments
- Willingness and availability for extended onsite assignments
This is a strong opportunity for a seasoned construction professional who thrives in complex, high-demand data center environments.
Duration: 12+ Months (Contract with possible extension)
Work Hours: 8a-5p (Possibly some overtime)
Job Description:
- Partially Onsite (Typical onsite Tues/Thurs, remote M,W,F).
- Required Skills: PowerBI, Tableau, SQL, MS Access, MS Excel Nice to Have: GIT, Python
- Day To Day: This person will be developing new tools that support the business of I/S. They will be meeting with customers to understand the business needs and gather requirements, propose a solution, develop the needed solution, test, present to customers, communicate the new tool to the business including training and presenting, maintenance tools as needed. We build dashboards, models, and reporting tools for our customers.
- Soft Skills This person will need to be able to clearly communicate (written and verbally) with all levels of management. They will need to be able to understand processes, data logic, business logic, and be able to put requirements into written form. They will need to be able to connect the dots between processes and understand the big picture. They will need to be critical thinkers and problem solvers. They will need to be curious and take initiative to dig into things. They will need to be team oriented and willing to work with the team following the correct procedures. They need to be willing to listen.
- Team: With this position, we will be a team of 8. Half are part of developing new tools and reports and the other half work on the recurring reporting. They still work together a lot because some of the recurring work is being replaced by tools/dashboards that the development side is building. The team really likes collaborating with each other to complete the work. We have a lot of big projects happening this year and they are high focus for the business. We are shifting the way we provide information to management so that it is more real-time and self-serve.
Responsibilities:
- Creates and analyzes reports to support operations. Ensures correctness of analysis, and reports findings in a concise manner to senior management. Directly responsible for accuracy of data as financial and operational decisions are made based on the data provided. Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes. Revises existing reports and develops new reports based on changing methodologies.
- Analyzes reports to ensure accuracy and quality. Tracks and verifies all reporting statistics. Communicates and trains employees and managers on the complex database programs used to generate analytical data. Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions.
Experience:
- 4 Years Research and analysis experience.
Skills:
- Strong organizational, customer service, communications, and analytical skills. Advanced experience using complex mathematical calculations and understand mathematical and statistical concepts. Knowledge of relevant computer support systems. Ability to train subordinate staff including provide assistance/guidance to staff in design/execution of reporting needs. Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development. Strong understanding of relational database structures, theories, principles, and practices.
- Required Software and Other Tools: Advanced knowledge of Microsoft Office. Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases. Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes. Preferred Skills and Abilities: Computer programming skills. Negotiation or persuasion skills. Knowledge of ICD9/CPT4 coding. Knowledge of the healthcare delivery system. Preferred Software and Other Tools: SAS experience. Work environment: Typical office environment. Some travel between buildings and out of town.
Education:
- Bachelor's degree in Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. Degree Equivalency: 2-year degree in Computer Science, Business or related field and 2 years of reporting and data analysis work experience.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter's detail:
Name: Vivek Kumar
Email:
internal ID: 26-05907
EPC Project Management Consulting is actively seeking a detail-driven and highly organized Construction / Project Planner to join our team, supporting a high-profile hyperscale data center client on-site in Colorado City, TX
In this role, you will be responsible for developing, maintaining, and monitoring project schedules throughout all phases of construction—from pre-construction through commissioning. You will work closely with project managers, engineers, contractors, and client representatives to ensure critical path milestones are met and risk to schedule is effectively managed.
This is a full-time, on-site role, ideal for someone with deep knowledge of construction planning principles and tools, particularly within complex, fast-paced environments like data centers. $20,000 relocation assistance is available for the right candidate.
- Location: Colorado City, TX
- Start Date: Negotiable
- Work Type: Hybrid with travel
- Salary: $120,000 - $175,000
Benefits Include:
- 8% 401(k) Employer Contribution
- Unlimited PTO
- 100% Employer-Paid BCBS Healthcare (employee, spouse, and dependents)
- 100% Dental & Vision Coverage
- Education Reimbursement
- $100,000 Life Insurance Coverage
Key Responsibilities:
- Develop and maintain detailed project schedules for large-scale data center construction projects using Primavera P6, Microsoft Project, or equivalent tools.
- Collaborate with project managers, superintendents, and subcontractors to create realistic timelines for design, procurement, construction, testing, and commissioning.
- Analyze schedule impacts, forecast delays, and recommend corrective actions to maintain project milestones.
- Perform critical path and risk analysis to identify schedule risks and opportunities.
- Track and report on schedule progress against baseline, including earned value metrics.
- Support change management processes by evaluating the impact of design or construction changes on schedule.
- Prepare and deliver progress reports, lookahead schedules, and executive summaries for stakeholders.
- Participate in client and contractor meetings, offering planning expertise to align execution with overall strategy.
- Coordinate closely with commercial, procurement, and construction teams to ensure integration of key milestones across disciplines.
Qualifications & Requirements:
- 5–10 years of experience as a Project Planner or Scheduler, preferably within data centers, mission-critical, or large-scale infrastructure projects.
- Strong knowledge of construction planning and sequencing across trades including civil, structural, MEP, and commissioning phases.
- Proficiency in Primavera P6, MS Project, and planning analytics tools (e.g., TILOS, Synchro 4D, or Power BI a plus).
- Experience managing and analyzing baseline schedules, resource loading, and schedule performance indicators.
- Familiarity with construction contracts (AIA, FIDIC, NEC) and their implications on schedule.
- Excellent communication and coordination skills with both internal teams and external contractors.
- Bachelor's degree in Construction Management, Engineering, Project Controls, or a related discipline preferred.
- Ability to thrive in fast-paced, client-facing environments with tight deadlines and evolving priorities.
Role: Principal AI Solution Architect
Location: Houston, TX, 77086 - Onsite
Duration: Long term Contract
Job Description:
Key Responsibilities:
- Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
- Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
- Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
- Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
- Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
- Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
- Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments
Required Technical Skills:
- Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
- Hands on experience deploying and operating ML pipelines using Azure Machine Learning
- Proficiency in Python and modern software engineering practices
- Experience with automation and configuration management, including Ansible
- Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Working knowledge of security, identity, and access control in enterprise cloud environments
Preferred Skills:
- Experience with Microsoft Foundry
- Experience implementing or operating agentic AI systems
- Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
- Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)
Experience Requirements:
- 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
- Proven experience delivering production AI or ML solutions in a cloud environment
- Experience collaborating with cross functional teams across data science, engineering, and architecture
Ways of Working:
- Ability to work independently as a contractor while integrating effectively with existing teams
- Strong communication skills, with the ability to explain complex technical concepts clearly
- Results oriented mindset with a focus on delivering business value quickly and reliably.
Overview
We are seeking a Data Center MEP Engineer (Mechanical, Electrical, and Plumbing) to provide exceptional design and project management services for data center projects. The ideal candidate will lead internal design teams, work in a client-facing project management position, and manage various projects from concept to completion. This role is critical for ensuring that the data center’s infrastructure is designed to meet the demands of its operations while also being energy-efficient and environmentally friendly.
Employment is project based on the estimated project duration of one year. Extension is possible, although not guaranteed. This is hourly exempt and benefits eligible, including full Medical, Dental, Vision, 401K, Life, Education opportunities, and more.
Key Responsibilities
- Lead design, integration, and delivery of MEP systems (HVAC, UPS, generators, cooling, CDUs, BMS, fire protection) across high-density mission-critical environments.
- Manage both internal and external stakeholders, ensuring design scalability, while ensuring safety requirements are met.
- Drive performance optimization, reliability, and compliance with IEC, IEEE, NFPA, and ASHRAE standards.
- Define HVAC technical requirements and coordinate with other teams.
- Develop office design standards for Data Center and Mission Critical sectors.
- Collaborate across disciplines to create integrated technical solutions.
- Coordinate with Energy Modeling teams to optimize energy efficiency and carbon reduction.
- Serve as client-facing representative on behalf of JB&B and Trinity to offer additional support, leading project with a solutions-based mindset.
Requirements
- Bachelor's Degree in Mechanical Engineering or Electrical Engineering required.
- Data Center experience required.
- 5 years of experience in facility design and construction environments.
- Experience in design, construction, and commissioning of data center HVAC systems.
- Professional Engineering (PE) license preferred.
- Strong knowledge of liquid-cooling systems and energy efficiency metrics (PUE/WUE).
Data Scientist
Phoenix AZ (Hybrid).
Role Summary
Data Scientist responsible for translating business requirements into actionable insights, independently developing machine learning models, designing end-to-end MLOps pipelines, and ensuring AI governance and compliance for deployed solutions.
Must Have: Python, R , ML/OPS
Key Responsibilities
- Gather and understand business requirements; convert them into analytical solutions aligned with business objectives.
- Develop, validate, and optimize statistical, probabilistic, and traditional ML models independently.
- Design and implement end-to-end MLOps pipelines including CI/CD (GitHub Actions) and cloud deployments using Kubernetes.
- Manage model lifecycle including deployment, monitoring, retraining, and versioning.
- Ensure AI governance, compliance, model documentation, explainability, and audit readiness for existing and new models.
- Collaborate with onshore/offshore teams to ensure clear ownership and timely delivery.
- Provide regular progress updates and present solutions to clients and stakeholders.
- Mentor junior data scientists and promote best practices.
Job Title: Safety / Red Teaming Data Labeling Analyst III (DLA III)
Company: Meta AI (via Tundra Technical Solutions)
Location: Hybrid – 3 days onsite per week
Pay Rate: $30/hr USD
Experience Required: 4+ years
Contract: 3 months to start (Extension likely)
About the Role
Tundra Technical Solutions is hiring on behalf of Meta AI for a Safety / Red Teaming Data Labeling Analyst III (DLA III) to support AI model development and evaluation. This role is focused on improving model safety, quality, and reliability through data annotation, auditing, and adversarial testing.
You’ll work closely with cross-functional teams to evaluate model outputs, identify risks, and help strengthen safety systems through structured red-teaming efforts.
Key Responsibilities
- Execute high-quality data annotation and evaluation across multi-modal datasets
- Perform QA auditing, including sampling, inter-annotator alignment, and error analysis
- Design and run red-teaming / jailbreak prompts to test model safety across sensitive domains
- Analyze model outputs to identify policy violations, risks, and edge cases
- Apply knowledge of global political systems, events, and actors to inform content evaluation and policy enforcement
- Collaborate with stakeholders to improve labeling guidelines and model performance
Required Qualifications
- 4+ years of experience in data annotation, labeling, or evaluation
- Proven experience with QA auditing methodologies (sampling, alignment, error analysis)
- Hands-on experience with safety-focused red-teaming or adversarial testing
- Strong understanding of US and global political landscapes and current events
- Ability to apply policy frameworks to risk identification and content evaluation
Preferred Qualifications
- Experience working with LLMs (Large Language Models)
- Bachelor’s degree (preferred, not required)
Why Apply?
- Work at the forefront of AI safety and model evaluation
- Opportunity to contribute to large-scale AI systems at Meta AI
- Collaborative, fast-paced, and impactful environment
How to Apply
If you’re interested, please apply directly or share your resume and availability for a screening call at
Interested in helping build the next phase of hyperscale data center expansion?
BlueSky Resource Solutions is partnering with a leading infrastructure services provider who is seeking a Regional Director of Data Center Infrastructure to oversee delivery operations within a major hyperscale market.
This role will lead ISP deployments within data center environments while building operational processes, developing field teams, and ensuring high levels of client satisfaction.
The ideal candidate is a hands-on operational leader with experience managing complex infrastructure projects, supporting business growth, and maintaining strong safety, quality, and financial performance standards.
Your project direction:
- Provide leadership for structured cabling and inside plant (ISP) infrastructure projects within large-scale data center environments.
- Oversee project lifecycle activities including planning, staffing, scheduling, quality control, and final project turnover.
- Build and lead field teams including supervisors, technicians, and project support staff.
- Develop and implement operational standards, documentation practices, testing procedures, and installation guidelines aligned with industry standards.
- Maintain strong relationships with enterprise and hyperscale data center customers, ensuring service-level commitments and project milestones are met.
- Collaborate with construction partners, electrical contractors, and facility operations teams to coordinate infrastructure deployment.
- Monitor project financials including labor forecasting, materials planning, change management, and cost control.
- Identify opportunities to improve operational efficiency through standardized processes, prefabrication, and digital reporting tools.
The best fit:
- 8+ years of experience in data center infrastructure, structured cabling, or network deployment environments.
- Experience managing field teams and overseeing multiple projects.
- Demonstrated experience managing project budgets, scheduling, and operational performance metrics.
- Strong client-facing communication and leadership capabilities.
- Industry certifications are considered a plus.
- Ability to meet site access requirements including background screening and safety compliance.
Are you passionate about learning, data, scale, and agility?
We’re looking for motivated professionals who love turning complex data into meaningful insights and business value. If collaboration, innovation, and problem-solving excite you — let’s connect!
What You’ll Do
- Analyze raw data: assess quality, cleanse, and structure for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering teams to bring analytical prototypes to production
- Generate actionable insights that drive smarter business decisions
What We’re Looking For
- Bachelor’s degree (or equivalent experience) in a quantitative field — Statistics, Mathematics, Computer Science, Engineering, etc.
- 1–2 years of experience in quantitative analytics or data modeling
- Strong grasp of predictive modeling, ML algorithms, clustering, and classification techniques
- Proficiency in at least one programming language: Python, C, C++, Java, or SQL
- Familiarity with Big Data frameworks (Hadoop, Spark, Cassandra) and visualization tools (Tableau, Power BI, etc.)
Who Are We?
We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
Company Highlights:
- Our Specialization: Providing IT consulting services.
- Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.
- Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.