Computer Data Storage Terms Jobs in Usa

Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.

The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas.

The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.

The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.

Requirements:

• Must have a valid Driver Licence;
• Good driving skills and clean driving record;
• General car knowledge would be a plus;
• Enjoys driving, within standard business hours;
• Available for a minimum of 3 months;
• Must have private monitored parking space for corporate vehicle;
• Great communication and reporting skills;
• Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
• High level of responsibility;
• Self-motivated and detail oriented;
• Must be able to successfully pass a background check (criminal and driving record).

We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as

the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.

The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.

Key Responsibilities:

Client & Stakeholder Engagement

• Serve as the primary analytics point of contact for clients
• Present performance reports, dashboards, and model insights
• Translate complex statistical results into clear business recommendations
• Participate in strategy calls

Data Analysis & Reporting

• Analyze large datasets to identify trends, risks, and opportunities
• Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
• Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
• Segment performance by channel, risk tier, geography, or campaign
• Perform root cause analysis on performance shifts

Modeling & Optimization Support

• Work alongside data scientists to interpret model outputs
• Conduct A/B testing and performance experiments
• Identify segments with low performance and recommend optimization strategies
• Validate model deployment performance in production environments

Cross-Functional Collaboration

• Coordinate with underwriting, marketing, risk, and engineering teams
• Assist in translating business requirements into analytical frameworks
• Support compliance and reporting needs where applicable

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
• field
• 2–5+ years of experience in data analytics, preferably in fintech or lending
• Strong proficiency in SQL
• Experience with R or Python
• Experience with BI tools (Tableau, Looker, etc.)
• Excellent communication and presentation skills
• Ability to explain technical concepts to non-technical audiences

Preferred Qualifications

• Experience with underwriting analytics or credit risk modeling
• Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
• Knowledge of fraud detection metrics
• Experience working in a client-facing or consulting environment

Core Competencies

• Strong analytical thinking
• Business acumen
• Executive-level communication
• Detail-oriented but able to see big picture
• Proactive problem-solving mindset

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk – America’s Contractor – is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.

Role:

The Mission Critical Center of Excellence manages billions of dollars in projects annually, specializing in data center and mission-critical construction for leading technology and telecommunications clients across the United States. Focused on fast-paced, MEP-intensive projects, the group is recognized for delivering complex solutions while offering significant opportunities for career advancement within the thriving mission-critical construction industry.

The Director of Estimating is responsible for managing the Mission Critical Estimating team, including identifying bid opportunities, managing the bid process, delivery of bids, staff development, making cost adjustments and assigning estimating personnel and resources.

This position can be located in Boston, MA, or Herndon, VA.

Responsibilities:

Department and Staff Management:

• Assign Estimating team members to projects. Balance and manage time of staff.
• Lead bid strategies.
• Create estimating templates and tools to increase overall effectiveness of the department.
• Create monthly estimating reports to track estimating success.
• Create and track the Mission Critical Estimating budget.
• Perform strategic and business planning for the department.
• Attend executive staff meetings.
• Develop talent on the Mission Critical Estimating team by coaching and providing feedback, and performing annual performance reviews. Create individual development plans for each staff member’s career growth.

Unit Cost Pricing:

• Prepare detailed take off of materials by clearly understanding the complexity of the scope(s) of work as shown on the construction documents.
• Prepare detailed labor estimates utilizing production hours, crews and equipment.
• Organize the material and labor information for pricing.
• Solicit material prices from suppliers.
• Obtain current labor rates.
• Prepare unit prices by "Building the Project in your Head."
• Verify and compare your unit prices or the price of a system with a subcontractor and previous similar estimates.
• Review all unit pricing on projects prepared by the Estimator. Make changes as required.
• Understand the influence of market conditions on pricing.
• Track all current market conditions.

Bid Activities:

• Review or compile GC's with the Senior Estimator and review with senior management.
• Assure on time delivery of bids and estimates, reviewing final plans and specifications with the Estimating team.
• Review of subcontractor selection and scopes and subcontractor/trade close outs on bid day.
• Review scope sheets and pricing with Estimating team members, ensuring that trade summary ties into bid form.
• Close out the subcontractor bid process.
• Review plans and specs with the lead Estimator.
• Assist the lead Estimator in directing additional staff assignments on bid day.
• Manage bid day activities by ensuring completion of bid forms, managing the clock and trying to develop a competitive advantage.
• Follow up with the client regarding bid results.
• Make Subcontractor, A/E fees, overhead, and fee recommendations to upper management.
• Identify pre-construction fees for Suffolk, where applicable

Qualifications:

• Bachelor’s Degree, preferably in Civil Engineering, Construction Management, Architecture or related field
• 15+ years of experience estimating Mission Critical projects
• Quantity Surveys, Take off skills, Computer Skills
• Working knowledge of Excel spread sheets, and Word processing programs
• Ability to work with and manage a team
• Understanding of Construction Documents specific to Mission Critical projects
• Knowledge of the contents of each CSI section.
• Ability to read & interpret blue prints in order to understand the scope of work at SD, DD and CD phases of design.
• Ability to coordinate construction document plans, details and specifications.
• Ability to apply CD details to a conceptual set of documents to capture all cost impacts of the details.
• If called to the table or awarded the bid, review the estimate and discuss strategy with the team for any holes, value management, or potential profit pockets

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.

Location: Austin, TX Area (On-Site)

Position Type: Full-Time

Reports To: Executive Infrastructure Leadership

Key Responsibilities:

Strategic Planning & Technical Leadership

• Lead master planning for a 50MW campus optimized for 50kW–100kW+ per rack density
• Serve as design authority across MEP systems supporting high-density AI compute
• Architect cooling strategies including Direct-to-Chip (DLC) and rear-door heat exchanger (RDHx) solutions
• Define redundancy models (N+1, 2N) aligned to inference SLAs and total cost of ownership targets

Construction & Project Delivery

• Select and oversee EPC partners, GCs, and specialty subcontractors
• Own capital budget ($100M+ range) and master project schedule
• Drive critical path milestones to achieve “first packet” delivery
• Develop procurement strategies for long-lead equipment (switchgear, generators, chillers, CDUs, MV gear)
• Mitigate supply chain risk across key infrastructure components

Power & Thermal Infrastructure

• Lead utility coordination and substation development to ramp capacity to 50MW
• Oversee implementation of advanced liquid cooling loops for next-generation GPUs/TPUs
• Deliver PUE targets below 1.2

Compliance & Risk Management

• Ensure adherence to building codes, environmental regulations, and safety standards
• Maintain rigorous on-site safety culture and HSE compliance

Qualifications:

Experience

• 10+ years in mission-critical data center construction
• 3+ years in leadership delivering projects exceeding 20MW
• Proven experience with high-density compute environments (AI, HPC, crypto, or similar)
• Direct experience implementing liquid cooling infrastructure (required)

Technical Expertise

• Strong command of medium-voltage electrical distribution
• Deep understanding of large-scale mechanical cooling systems and thermodynamics
• Experience operating within hyperscale or advanced compute environments

Financial & Operational Acumen

• Managed CAPEX programs exceeding $100M
• Strong commercial negotiation skills with EPCs and equipment vendors
• Ability to manage complex on-site engineering challenges under aggressive timelines

Education

• Bachelor’s degree in Engineering or Construction Management
• PE or PMP strongly preferred

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.

**This is a part time role**

About Us

This role supports the Flight Operations team with a primary focus on data entry. The position ensures that flight information, and scheduling data are entered, maintained, and verified for accuracy while assisting with light operational tasks as needed.

Responsibilities

· Enter and update data accurately into company databases and systems

· Review information for errors or missing data and make corrections

· Maintain organized records of data sources and entries

· Support other administrative or clerical tasks as needed

· Ensure confidentiality and data security standards are maintained

Qualifications

· Previous data entry or administrative experience preferred

· Strong attention to detail and organizational skills

· Proficient in Microsoft Excel, Word, and basic computer applications

· Ability to type efficiently and accurately

· Excellent time management and reliability

What We Offer

· Flexible scheduling

· Supportive team environment

· Growth opportunities within the company

Pay: $25.00 up to 20 hours a week