Auto-apply to these data science jobs

About Fluidstack Fluidstack is the AI Cloud Platform. We build GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more. Our team is highly motivated, and focused on providing a world class supercomputing experience. We put our customers first in everything we do, working hard to not just win the sale, but to win repeated business and customer referrals. We hold ourselves and each other to high standards. We expect you to care deeply about the work you do, the products you build, and the experience our customers have in every interaction with us. You must work hard, take ownership from inception to delivery, and approach every problem with an open mind and a positive attitude. We value effectiveness, competence, and a growth mindset. About the Role We are seeking a Data Center Logistics Specialist to join our Data Center Operations team. In this role, you will be responsible for managing the flow of critical hardware components within our data center operations, ensuring seamless coordination of all logistics activities. You will work closely with the infrastructure team to build tooling and automation, analyzing routine tasks with an automation-first approach and contributing to continuous improvement initiatives. Focus Manage inbound and outbound shipments of critical hardware components, ensuring timely delivery and proper handling of sensitive equipment Maintain accurate inventory records using warehouse management systems, conducting regular audits and reconciliations Coordinate with external logistics partners, carriers, and vendors to optimize shipping routes and reduce transportation costs Develop and implement automation solutions for logistics processes, creating written reports on improvement opportunities Ensure compliance with data center security protocols and chain of custody requirements for all hardware movements About You 5+ years of experience in logistics, supply chain, or warehouse operations, preferably in a technology or data center environment Strong organizational skills with meticulous attention to detail and ability to manage multiple priorities simultaneously Proficient in warehouse management systems (WMS) and inventory tracking software Excellent communication skills for coordinating with internal teams and external partners Problem-solving mindset with demonstrated ability to identify inefficiencies and propose automation solutions Nice to haves Experience with data center hardware components (servers, GPUs, networking equipment) Knowledge of international shipping regulations and customs procedures Certification in supply chain management (APICS, CSCMP) or logistics Experience with automation tools and scripting languages (Python, SQL) Benefits Competitive total compensation package (cash + equity). Retirement or pension plan, in line with local norms. Health, dental, and vision insurance. Generous PTO policy, in line with local norms.

Benefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off Vision insurance Wellness resources About the Role: We are seeking a Customer Service, Data Entry, & Collections Clerk to join our team at Precision Door Service of Memphis. As a key member of our team, you will play a crucial role in providing exceptional customer service, maintaining accurate data entry records. Responsibilities: Answering incoming calls and assisting customers with inquiries Entering customer information and service requests into our database Providing support to the service technicians and dispatch team Assisting with scheduling and confirming service appointments Maintaining a high level of professionalism and customer service at all times Contact customers by phone, text, or mail Review and update account status Maintain records of payments and account details Schedule follow-up communication with customers Monitor accounts receivable Requirements: Prior experience in customer service, data entry role, and collections Proficiency in QuickBooks Excellent communication and interpersonal skills Ability to multitask and prioritize in a fast-paced environment Strong attention to detail and accuracy About Us: Precision Door Service of Memphis has been providing top-quality garage door services to the Memphis area for over 20 years. Our commitment to excellence and customer satisfaction has made us a trusted name in the industry. We offer a supportive and collaborative work environment where employees are valued and have opportunities for growth. Compensation: $18.00 - $24.00 per hour Precision Door Service provides residential garage door service. With over 100 locations, our professional and certified technicians repair over 1000 garage doors everyday - nationwide. We also sell and install a wide selection of garage doors and garage door openers. We have been selected multiple years as Franchise Business Review Top 50 Franchises for Franchise Satisfaction. We ranked #13 in the top 20 new franchises by Entrepreneur® magazine. We also ranked #227 in Entrepreneur® magazine's Franchise 500. We received the "Spirit of Success" award from Southwestern Bell. Multiple franchises with the Angie's List Super Service Award. Our Mission: To provide outstanding garage door repair service, complete customer satisfaction and a program that rewards excellence from our franchisees, technicians and staff. Our Vision: To establish Precision Door Service as the public standard and national household name in garage door repair service. This franchise is independently owned and operated. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. All inquiries about employment at this franchise location should be made directly to the franchisee.

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! The Role A Senior Data Manager can hold two roles; a “Lead Data Manager” role and a Data Manager role, referred to as “Data Manager”. As “Data Manager” the employee is operationally responsible for the planning, start-up, conduct and closure of clinical trials from the point in time where a final synopsis and/or a Clinical Trial Team (CTT) is assigned. Provide oversight of the DM CRO and ensure performance against key indicators. As “Lead Data Manager” you may act as “project” Data Manager and be responsible to oversight and ensure consistency cross more trials within one or more development projects. The Lead Data Manager will participate in and drive implementation of lessons learned and new, innovative procedures to ensure high standards/improvement of data management related processes and systems, which may involve cross departmental stakeholders. The employee may represent Clinical Data Management in Operational Committee’s/fora with the partners and/or DM vendors. As Senior Data Manager the employee will support /train colleagues in and advise on handling of data management related processes/issues and may act as a mentor. Responsibilities In the role as “Data Manager” the employee will be part of the cross-functional trial-specific Clinical Trial Team (CTT) and be responsible for delivering core deliverables such as EDC setup, data collection, validation of data in the clinical database prior to data analysis etc. within budget and timelines and according to quality standards defined by regulations/standards, Genmab SOPs and ICH-GCP. The “Data Manager” is responsible for ensuring oversight of the DM vendors and their deliverables. The “Data Manager” is responsible for ensuring appropriate involvement of and communication with relevant stakeholders. As Senior Data Manager, the employee may be involved in: General/Trial specific: Give input to the clinical development plans through the Development Operations representatives of the CDT ensuring that data management input/knowledge that could impact the setup and conduct of trials is proactively considered and discussed upon development of the operational strategy of the trials. Serve as Clinical Data Management representative in Operational Committee/fora with the partners, DM vendors or other vendors handling data. Participate in working groups e.g. Data protection regulation, setup of data in biomarker group, ePRO, IRT etc. Drive alignment meetings within the data management group Attend various working groups where data management expertise is required Perform vendor oversight related to key deliverables e.g. eCRF design development, review of the eCRF completion guide, UAT, approve eCRF go live, Data management plan, Data validation plan, data cleaning activities, ensuring data transfer specifications with all external data providers e.g. lab, ECG, ePRO etc. , evaluate trends in DM raised queries, ensuring final transfer of data for archiving including development of site CDs, ensuring coding listings are approved etc. Proactively participate and represent data management in the CTT and provide oversight on progression and status of related activities. Proactively discuss risks management related to data management activities in relation to trial conduct Review and provide input to protocol and amendment development Give input to protocol deviations classifications, randomization and stratification plans, tables, figures and listings etc. Ensure procedures for blinding are in place where applicable Support timely delivery of data management deliverables in accordance with Genmab SOP and ICH/GCP Attend trial and investigator/monitor meetings as needed Participate in definition, review and approval of data packages for Data Monitoring Committee’s, if applicable Review and approve any corrections and updates of data packages, if applicable Support timely development, update and maintenance of dashboards, if applicable CRO selection and collaboration : Support vendor qualification (Request for proposal, bid defense meetings etc.) in terms of Data management, ePRO and IRT related activities and define/specify scope of work for functional tasks Review scope of work in a given trial in collaboration with relevant stakeholders and review/challenge major work orders (WOs)/change orders (COs)/change notification forms (CNFs) Attend operational committee meetings, as applicable Compliance : Ensure compliance with relevant regulations, Genmab SOPs and ICH GCP Ensure escalations are made as appropriate to secure proper progress and quality of the trial Ensure compliance with Genmab Code of Business Ethics Ensure that the trial oversight activities are conducted in accordance with the trial oversight plan, e.g. ongoing review of the trial eTMF, support risk assessment analysis in the CTTs, CTT data quality review activities etc. Participate in audits and inspections as applicable Ensure timely response to audit/inspection including carrying out a comprehensive root cause analysis and share learnings across trials as applicable Project, Department and across departmental activities : Support project submission activities e.g. providing listings and documentation Lead/contribute with knowledge sharing within the department Follow scientific, process and technical progress within the field of data management in drug development and advise of new methodologies that may support innovation and improve efficiencies Contribute on processes optimizations and SOP revisions Lead and participate in cross-functional working groups/ projects/task forces Requirements Bachelor’s degree in a scientific or related field 8+ years of hands-on clinical data management experience in the biotech or pharmaceutical industry Proven end-to-end data management expertise across multiple clinical trials Experience with oncology clinical trials highly preferred Deep understanding of clinical trial processes and the drug development lifecycle Strong leadership experience in data management, including oversight of multiple studies Proficient with data management systems (e.g., EDC tools) and documentation practices Advanced knowledge of data management methodologies, tools, and strategies Solid understanding of GCP, regulatory guidelines, SOPs, and data integrity standards Familiarity with CDISC standards (especially SDTM) and oncology-specific data requirements preferred Experience in project management and cross-functional team collaboration For US based candidates, the proposed salary band for this position is as follows: $124,320.00---$186,480.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you’re joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X . Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com) . Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the fixed-term employment contract.

Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data centers operate across North America, Western Europe, and Israel, serving the world's leading technology and hyperscale companies. With Manulife Investment Management's acquisition in 2023 and our award-winning InCommand platform we're positioned for explosive growth as AI adoption and cloud migration drive unprecedented demand for data center capacity. A career at Serverfarm means being at the forefront of digital infrastructure innovation, where your work directly impacts how the world's data is managed and secured. As we target 4x growth over the next four years, you'll have unprecedented opportunities to take on new challenges, develop cutting-edge skills, and grow your career across our expanding global operations. Join our team of innovators and help shape the future of sustainable data centers while building a career without boundaries. As the backbone of Serverfarm's mission critical data center operations, Data Center Technicians ensure 24/7 uptime and reliability of our advanced infrastructure. You'll be responsible for monitoring, maintaining, and troubleshooting critical systems including network infrastructure, fiber optic cabling, computer systems, power distribution, cooling, fire suppression, and environmental controls that keep our clients' digital operations running seamlessly. Working in a fast-paced, precision-driven environment, you'll collaborate with engineering teams and site leadership to maintain the highest standards of safety, efficiency, and performance. The shift for this role alternates 4 days on, 4 off, alternating day shift to night shift (and vice-versa). Shifts are 12 hours, 6AM to 6PM and 6PM to 6AM. Key Accountabilities Install, terminate, and test fiber optic cabling and patch connections Set up and configure computer stations and network equipment Monitor power and environmental conditions within all critical spaces within the facility Perform assigned maintenance tasks in accordance with SF practices utilizing the internal CMMS Assist with planning and scheduling corrective maintenance activities Escort and support outside contractors, ensuring they are abiding SF work rules and processes Respond to site incidents, execute appropriate MOP/EOP documentation to resolve and/or mitigate issues and communicate to management throughout event Support and follow all SF Change Control policies and procedures Perform site rounds using inspection checklists and report any issues found to site management Participate in construction and commissioning activities as directed by site management Adhere to all local, state and federal safety laws and requirements Complete other duties as assigned by the management team Participate in and support MOP/SOP/EOP documentation process for site Work with site team members to deliver 100% uptime of critical infrastructure Required Skills Experience with fiber optic cable installation, termination, and testing Knowledge of data center networking concepts and equipment Computer hardware setup and basic troubleshooting capabilities Understanding of network connectivity and patch panel management Ability to read and interpret network diagrams and documentation Experience working in a Data Center with proven success in delivering customer requirements in a critical technology environment Operating Building Management systems and Fire alarm and detection systems Building facility maintenance experience Evidence of self-management and alignment with ever-changing priorities Good written and oral communication skills, tenacity, and working to a high level of accuracy Ability to work independently and respond effectively to emergency situations Strong attention to detail and commitment to safety protocols Preferred Skills Operating and maintaining backup electrical systems such as UPS and generators Operating and maintaining chilled water-cooling systems and DX cooling systems Fiber optic certification or relevant networking certifications Previous experience in colocation or hyperscale data center environments Familiarity with DCIM (Data Center Infrastructure Management) systems Experience with cable management and structured cabling standards $25 - $31 an hour The listed salary range for this position is an estimate based on the competitive job market. Final compensation will be based on your own individual skills, experience, and location. The above statements are intended to describe the general nature and level of work being performed in this role. They are not intended to serve as an exhaustive list of all possible responsibilities and duties. We encourage you to apply even if your experience isn't an exact match to the job description.

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today. Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now! Position Overview: This position, in Valley Forge, PA, is for a Data Engineer looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, reinforcement learning, and time-series predictive analytics. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. We have multiple positions available and welcome all experience levels! Responsibilities: Build custom Python software using packages and concepts (e.g. vector databases) Assembles large, complex sets of data to support AI/ML algorithm implementation Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources Curate and maintain data that is stored in support of metrics and evaluation Design, build, test, maintain, and automate data collection/pipelines Develop Dashboards for Data Analytics. Implement Artificial Intelligence/Machine Learning Using Agile methodologies to develop software. Basic Qualifications: Current TS/SCI CI Poly security clearance and willing to take and obtain a Full Scope Polygraph (FSP) B.S. in Data Science, AI/ML, Computer Science, or related field Minimum six (6) years of relevant experience as a Data Engineer/Scientist with experience building custom Python software using packages and concepts (e.g. vector databases) Experience developing data pipelines and normalizing data, using AWS cloud services Preferred Qualifications: M.S. or PhD in Data Science, AI/ML, Computer Science, or related field Experience with Gitlab, DevSecOps utilizing test-driven development, Containers (Docker, Docker Compose) Fully adjudicated Full Scope Polygraph (FSP) security clearance Pay Range: $130,000 - $190,000 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Location: This position is based out of ARKA’s King of Prussia, PA campus. Situated less than an hour outside of Philadelphia and hosting the largest mall on the east coast, King of Prussia offers the urban feel sought in the city, while also giving opportunities to experience the beauty and history found only in Pennsylvania. What We Offer: Comprehensive medical/vision/dental insurance packages Company contributions to qualified HSA accounts 401k retirement plan with industry leading company contributions 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events 13 paid holidays Upfront tuition assistance for approved degree programs Annual bonus program based on company and employee performance Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance 4 weeks paid Parental Leave Employee assistance program (EAP) EHS/Environmental Requirements: While performing the duties of this job, the employee is required to communicate, listen to, and interpret instructions, occasionally operate tools and/or machinery with hands and arms and remain stationary for extended periods of the time. The employee will use protective equipment when working with chemicals, move between workstations, reach, and replace equipment, and move items weighing up to 40 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources. ITC & Security Clearance Requirements: This position requires an active U.S. Government TS/SCI CI Poly Security Clearance. Visa Restrictions: No visa sponsorship is available for this position. Pre-employment Screenings: Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.

Tax Professional (Tax Preparer) – Entry Level Are you looking for a fun, dynamic work environment? Do you need a job with flexible hours? Are you looking for some extra cash? If you answered YES to any of these questions, Fast Tax has a great opportunity for you! We are excited to announce that we are now seeking career-minded candidates for Tax Professional (Tax Preparer) positions; NO experience necessary. Tax Professional (Tax Preparer) base responsibilities include : Conducting face-to-face client interviews Providing high-quality tax return preparation assistance to clients to ensure that accurate and complete tax returns are filed in a timely manner Increasing client retention, generating business growth and offering additional products and services Other Responsibilities as needed : Make client appointments Assemble client packets Answer telephone, direct calls, take messages Greet arriving clients Other responsibilities as assigned Required Skills & Experience : High School Diploma or equivalent Basic typing skills (minimum 35 wpm) Basic computer operating skills Ability to effectively communicate in person and in writing Excellent people skills Experience working in a fast-pace environment Team-oriented Successful completion of company provided Tax Knowledge Assessment Preferred Skills & Experience : Sales and/or marketing experience Previous tax preparation work experience Annual Filing Season Program (AFSP) Certification Pay is based on hourly rate plus commission Fast Tax Service Inc At Fast Tax, our mission is to serve our Clients by providing high quality, professional tax services. Fast Tax was founded in 1991 and has grown from 10 preparers at four locations to over 100 preparers at 23 locations spanning the Greater New Orleans and Baton Rouge Areas. We attribute the growth and success of our Company to our belief in 3 core principles: Integrity, Accuracy and Service. For more than 25 years, we have been committed to serving the needs of our Clients with the help of a diverse, dedicated team of Enrolled Agents, Accounting Professionals, and other Tax Professionals who have years of experience in the tax services industry. We pride ourselves on maintaining our competitiveness by being aware of and prepared for the complexities that our industry encounters every year. Our objective is to continue to uphold our tradition of excellence in the tax services industry by evaluating and taking full advantage of the latest technologies while keeping abreast of the ever changing tax laws that may affect our Clients. Our company was founded on service and as we look toward the future, we will never lose sight of who and what is most important to us—our Clients

WHO WE LOOK FOR An SEI-er is a master communicator and active listener who understands how to navigate an audience. Self-aware, almost to a fault, SEI-ers keenly understand how to adjust their support and problem solving based on the situation. Following a logical, fact-based approach, SEI-ers possess the superior ability to see correlations others may not, ask the right questions and drive solutions. As super-connectors, they connect not only people, but data, trends and experiences. Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers are ethical and trustworthy individuals who consistently and repeatedly follow through, and hold true to their values in difficult situations. SEI-ers have an insatiable curiosity and love to learn. These individuals are commonly tech savvy and early adopters. Their passion for learning is infectious and excites others. As every project is different, an SEI-er must be adaptable and comfortable with unexpected situations. SEI-ers define ambition differently. They are authentic, low-maintenance individuals who truly enjoy one another- they like to hang out with colleagues outside of work, collaborate and hold one another accountable. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family. WHAT WE DO Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces. We are actively looking for professionals in the following areas: Data Strategy Data Governance Data Modernization Advanced Analytics Data Visualization The ideal candidate’s experience may include but is not limited to the following: Have experience understanding and solving real business problems Have experience with presenting business case and strategy to the C-Suite Bring industry domain knowledge for custom data and analytics strategies Experience in designing and implementing data driven products and services Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following: Data Strategy and Governance Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements. Proven experience in transforming our clients from on-prem data platforms to the cloud. Lead data modernization initiatives that include platform, technology and tools implementation and adoption. Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management. Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes. Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment. Data Architecture and Engineering Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data Ability to design and build complex data pipelines that either stream data in Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL Experience and knowledge of data integration tools and platforms Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions Ability to design and build data models using the appropriate technics to meet business objectives In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Advanced Analytics and Data Visualizations Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done. QUALIFICATIONS Required- Alignment to our core values: Excellence, Participation, Integrity and Collaboration Hungry, Humble, Smart Demonstrated business and technology acumen Strong written and verbal communication skills Understanding and experience solving real business problems Proven track record of delivering results Experience working with and/or leading a team Ability to work across industries, roles, functions & technologies Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship) Preferred- Bachelor’s degree 8+ years professional experience Experience across our service offerings Systems Evolution, Inc. (SEI) is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our Vernon, CA Data Center 5 days per week. What You'll Do Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured Troubleshoot hardware and software issues in some of the world’s most advanced systems Document data center layout and network topology in DCIM software Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved Work with RMA team to ensure faulty parts are returned and replacements are ordered Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers You Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management Are someone who pays attention to detail and has the ability to follow instructions Are action-oriented and have a strong willingness to learn Are willing to travel for bring up of new data center locations Nice to Have Experience with troubleshooting server hardware Experience with Linux administration Experience with working in large-scale distributed data center environments Experience Supermicro & Nvidia hardware Salary Range Information Based on market data and other factors, the annual salary range for this position is $86,000-$111,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

About the Team Our infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale. About the Role As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company. You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling. Develop forecasting and optimization models to support infra planning and resource allocation. Partner with engineering, research, and product teams to shape infrastructure strategy through data. Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI. You might thrive in this role if you have: 5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research org Experience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground up A strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisions Excellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholders A strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffs You could be an especially great fit if you have: Proven track record of operating as a data partner in large scale backend systems Comfortable navigating fast-paced execution while also anchoring decisions in long-term impact Strong programming background, with ability to run simulations and prototype variants Experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

ABOUT ITS LOGISTICS Are you ready to unleash your potential and be a part of one of the fastest growing, exciting, logistics companies in the US? ITS Logistics is a premier Third-Party Logistics company that provides creative supply chain solutions. With the highest level of service, unmatched industry experience and work ethic, and a laser focus on innovation and technology–our purpose is to improve the quality of life by delivering excellence in everything we do. At ITS, we invest in your personal and professional growth, providing the tools, resources, and support you need to unleash your full potential, collaborate with like-minded teammates, and seize limitless opportunities. By joining our all-star team, you will be part of an organization that values your unique skills, encourages your drive for excellence, and recognizes your unwavering commitment to achieving our shared goals. We empower our team members to become champions in their respective fields by nurturing a culture of collaboration, competition, and unyielding resilience. We believe that together, we can conquer any challenge and achieve remarkable victories. Want to learn more about ITS Logistics? Check out our website! www.its4logistics.com About The Job Position Summary At a pivotal stage of data modernization and scale, ITS is seeking an Enterprise Data Architect with deep expertise in Databricks, Python, and data engineering to lead the architectural evolution of our enterprise data platform. This individual will be instrumental in defining, designing, and delivering scalable data solutions that fuel strategic decision-making, empower analytics teams, and support advanced AI/ML initiatives. This is an exciting opportunity to shape the future of our data architecture at a high-growth, fast-paced organization. Key Responsibilities Data Architecture Leadership : Define and drive the enterprise data architecture strategy with a focus on scalability, performance, security, and modularity across lakehouse and data warehouse environments. Databricks Platform Mastery : Architect and implement solutions within the Databricks ecosystem, including Delta Lake, Unity Catalog, Workflows, and advanced Spark operations. Cloud & Engineering Strategy : Design and guide the implementation of distributed, cloud-based data pipelines, leveraging modern frameworks and infrastructure (Azure preferred). Python-Centric Development : Provide leadership on enterprise-grade Python solutions for ETL/ELT, auditing, orchestration, and automation of data flows across systems. Governance & Standards : Establish standards and patterns for metadata management, lineage, data quality, and security using Unity Catalog and access control best practices. Business Partnership : Collaborate with data analysts, data scientists, product owners, and operational leaders to understand business needs and translate them into architectural solutions. Modeling & Design : Drive robust dimensional modeling practices to support both real-time and batch processing across Bronze, Silver, and Gold layers. Technical Mentorship : Guide data engineers and developers across projects by promoting architectural excellence, peer reviews, and code quality. Encourage a culture of continuous learning and innovation. Technology Evaluation and Selection : Evaluate and select appropriate data technologies, tools, and platforms. Stay abreast of emerging data trends and technologies Data Quality Management : Establish and manage data quality standards, processes, and metrics to ensure data accuracy, consistency, and completeness - Deliver initiatives to monitor, improve, and report on data quality. CI/CD Enhancements : Enable/Enhance DevOps for data through integration with Git-based workflows, test automation, environment management, and release strategies using Azure Devops. Documentation & Communication : Document architectural decisions and communicate clearly with both technical and non-technical stakeholders. Basic Qualifications Education : Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. Experience : 8+ years in data engineering and architecture, including 5+ years in architect-level roles focused on scalable data platform design. Databricks Expertise : 4+ years of experience with Databricks including Spark (PySpark), Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Python Proficiency : Advanced hands-on development using Python for ETL, orchestration, and scalable data transformations. Modern Data Stack : Strong knowledge of cloud-native data engineering tools and concepts (e.g., Azure Data Lake, Azure Data Factory, Snowflake, or similar platforms). Design Thinking : Expertise in designing medallion architectures, data modeling (dimensional and normalized), and handling large-scale structured and unstructured data. Security & Governance : Familiarity with data access policies, role-based access controls, PII management, and compliance frameworks. Communication : Strong written and verbal skills; capable of translating complex technical ideas into actionable insights for non-technical stakeholders. Project Leadership : Proven success delivering architectural outcomes on large-scale initiatives; effective at balancing speed and quality in a rapidly evolving environment. Scalability and Performance Optimization : Design and support the implementation of scalable data pipelines, ensuring performance that meets SLAs and maintains data system reliability Documentation & Standards : Experience defining and implementing architectural standards, reusable frameworks, and technical design documents. Other Qualifications Experience in requirements gathering methodologies and processes. Excellent communications skills, especially with end users and leadership. Experienced working in a collaborative environment. Excellent judgment skills (e.g., when to escalate technical problems and issues). Ability to absorb and retain complex technical information quickly. Strong diligence. Demonstrated analytical, critical, and problem-solving skills.

At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software. You will drive end-to-end design and quantification of biological datasets that enable AI models to design RNA molecules. You will work together with experimentalists to troubleshoot and scale assays. Your code will solve immediate problems, create scalable data pipelines, and form foundational tooling, as the occasion requires. Your Mission, should you choose to accept it Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise Work closely with experimental scientists to design experiments measuring diverse properties of designed RNAs Analyze, visualize, and communicate results, providing rapid feedback to optimize the utility of datasets for training and evaluating ML models Create, deploy, and refine tools for efficient, reliable data analysis in collaboration with software engineers Collaborate on validation of candidate therapeutic RNA molecules through rapid in vitro and in vivo testing Qualifications 3+ years experience applying computational methods to biological data Experience working with experimentalists to deliver quantitative, statistically robust results from biological assays Experience with a wide variety of data types encountered in molecular and cellular biology, such as sequencing, microscopy, chromatography, and time-course data Highly capable programmer fluent in scientific Python ecosystem Availability to work with team members across US and Europe, with meetings starting at 8am PT Readiness to travel several times a year for company retreats and business events We value the benefits of in-person collaboration and expect candidates to primarily work at our office locations Preferred technical skills PhD in computer science, computational biology, or a related field, or equivalent practical experience (e.g., industry experience, research, or advanced technical expertise) Experience with professional software engineering, including cloud computing, git workflows, SQL Knowledge of biochemistry, molecular/cell biology, and drug development Track record of creating analytical methods and/or software tools used by wider community, eg, via open-sourcing Proven ability to push the limits of data generation by deconstructing and optimizing instrumentation and assays Compensation $135K – $240K + Bonus + Equity What we offer A competitive compensation package 30 days paid vacation per year Comprehensive health insurance and 401K with company match for US based Beginners, with comparable benefits for those based in other countries Quarterly company-wide retreats Monthly wellness benefit Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone A buddy to help you get settled *Varies by country At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for. It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment. Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

Benefits: 401(k) 401(k) matching Dental insurance Health insurance Opportunity for advancement Paid time off Parental leave Training & development Vision insurance Overview: We are looking for a Data Engineer who will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this Data Engineering position, you should have strong analytical skills and the ability to combine data from different sources. Responsibilities: Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects Qualifications: Previous experience as a data engineer or in a similar role Technical expertise with data models, data mining, and segmentation techniques SSRS & SSAS experience Hands-on experience with SQL database design Great numerical and analytical skills Degree in Computer Science, IT, or similar field Data Engineering certification (e.g IBM Certified Data Engineer) is a plus Compensation: $75,000.00 - $90,000.00 per year Our Story At Tree Top Staffing, we take pride in helping job seekers find their ideal role and employers find the right candidate for their company. Our organization is instantiated by experienced professionals providing full service employment solutions including: contract, contract-to-hire, and direct-hire placements within multiple lines of business. Our Mission We adhere to a set of 4 defining principles encapsulating: Servitude Accountability Integrity Discipline If you make a promise, keep it, as your actions prove your greatness. Our goal at Tree Top Staffing is to set our clients and consultants up for success. It is imperative to ensure an all-around fit from both sides for long term relations to thrive. Our Results Tree Top Staffing utilizes advanced recruiting tools to ensure top talent is presented to our clients when their needs arise. Our success is measured by the success of our clients. It is a privilege to help job seekers find their dream position and employers find the right fit for their company.

Token Metrics is seeking a multi-talented Senior Big Data Engineer to facilitate the operations of our Data Scientists and Engineering team. The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C++. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project. Responsibilities Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Building a data pipeline from different data sources using different data types like API, CSV, JSON, etc. Preparing raw data for manipulation by Data Scientists. Implementing proper data validation and data reconciliation methodologies. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs. Requirements Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field. A Master's degree in a relevant field is an added advantage. 3+ years of Python, Java or any programming language development experience 3+ years of SQL & No-SQL experience (Snowflake Cloud DW & MongoDB experience is a plus) 3+ years of experience with schema design and dimensional data modeling Expert proficiency in SQL, NoSQL, Python, C++, Java, R. Expert with building Data Lake, Data Warehouse or suitable equivalent. Expert in AWS Cloud. Excellent analytical and problem-solving skills. A knack for independence and group work. Capacity to successfully manage a pipeline of duties with minimal supervision. About Token Metrics Token Metrics helps crypto investors build profitable portfolios using artificial intelligence-based crypto indices, rankings, and price predictions. Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.

Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely , the Everyday Influencer Platform®, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services.  Later is founded on two success stories that began in 2014: Mavrck, the industry-leading  influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool , Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity. We’re trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest. We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI.  About this position: As a Staff Data Engineer at Later, you will be at the forefront of designing and scaling our data platform, integrating multiple data sources, and ensuring high availability, efficiency, and security. You will drive architectural decisions, optimize large-scale data processing, and develop real-time analytics infrastructure. Partnering with cross-functional teams, including data science, product, and engineering, you will play a strategic role in shaping the company's data roadmap, implementing best practices, and influencing long-term data strategies. Your leadership and deep technical expertise will be essential in building a data-driven culture and empowering stakeholders with scalable and reliable data solutions. What you'll be doing: Lead the design and evolution of a scalable data architecture that meets analytical, machine learning, and operational needs. Architect and optimize data pipelines for batch and real-time data processing, ensuring efficiency and reliability. Implement best practices for distributed data processing, ensuring scalability, performance, and cost-effectiveness of data workflows. Define and enforce data governance policies, implement automated validation checks, and establish monitoring frameworks to maintain data integrity. Ensure data security and compliance with industry regulations by designing appropriate access controls, encryption mechanisms, and auditing processes. Drive innovation in data engineering practices by researching and implementing new technologies, tools, and methodologies. Work closely with data scientists, engineers, analysts, and business stakeholders to understand data requirements and deliver impactful solutions. Develop reusable frameworks, libraries, and automation tools to improve efficiency, reliability, and maintainability of data infrastructure. Guide and mentor data engineers, fostering a high-performing engineering culture through best practices, peer reviews, and knowledge sharing. Establish and monitor SLAs for data pipelines, proactively identifying and mitigating risks to ensure high availability and reliability. We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply! 10+ years of experience in data engineering, software engineering, or related fields. Proven experience leading the technical strategy and execution of large-scale data platforms. Expertise in cloud technologies (Google Cloud Platform, AWS, Azure) with a focus on scalable data solutions (BigQuery, Snowflake, Redshift, etc.). Strong proficiency in SQL, Python, and distributed data processing frameworks (Apache Spark, Flink, Beam, etc.). Extensive experience with streaming data architectures using Kafka, Flink, Pub/Sub, Kinesis, or similar technologies. Expertise in data modeling, schema design, indexing, partitioning, and performance tuning for analytical workloads, including data governance (security, access control, compliance: GDPR, CCPA, SOC 2) Strong experience designing and optimizing scalable, fault-tolerant data pipelines using workflow orchestration tools like Airflow, Dagster, or Dataflow. Ability to lead and influence engineering teams, drive cross-functional projects, and align stakeholders towards a common data vision. Experience mentoring senior and mid-level data engineers to enhance team performance and skill development. Preferred Qualifications: Experience with machine learning infrastructure and integrating ML models into data pipelines. Experience with Kappa/Lambda architectures for real-time data processing. Background in data observability, lineage tracking, and anomaly detection tools (Monte Carlo, Databand, Great Expectations, etc.). Experience working with decentralized data architecture (e.g., Data Mesh principles). How you work:  You’re proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes.  Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results. Your curiosity fuels success, keeping you sharp on industry trends, competition, and our cross-functional business dynamics.  Adaptable and resourceful, you handle shifting priorities with ease, manage your time effectively, and know when to ask for support. You share insights to help the team stay ahead and make informed decisions. You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you.  You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration.  Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.  Additionally, all permanent team members are granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range:  $ 200,000- 228,000 USD   *Co-op team members, independent contractors, and freelancers are not eligible for company benefits.   #LI-Remote Where we work We have hubs in Boston, MA; Vancouver, BC; Toronto, ON; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.  Diversity, inclusion, and accessibility At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit . We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer . All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. We are looking for a Data Engineer to join our Powertrain Data and Automation Team supporting the Test and Validation team for Powertrain Dyno Lab at Lucid. This role is critical in designing, building, and maintaining robust data pipelines that power insights for validation and test operations. You will be responsible for acquiring, transforming, and visualizing data from diverse sources, ensuring data is accurate, timely, and actionable.   Responsibilities: AVL System Integration: Develop and maintain data pipelines and interfaces specifically designed for AVL test systems, including PUMA 2 Navigator and Office, focusing on powertrain dyno test environments. Data Pipeline Development: Build, monitor, and optimize robust data pipelines to collect, transform, and store data from dyno labs and other validation systems. Data Acquisition: Ensure accurate and high-fidelity data collection from AVL powertrain testbeds, managing sensor integrations, calibration setups, and real-time acquisition. Analytics & Visualization: Create insightful dashboards and analytics using tools such as Tableau and Grafana to help engineers interpret and act on test data. Collaboration: Partner closely with test engineers, validation teams, and software developers to understand AVL data formats and ensure smooth integration with lab operations. Technology Deployment: Utilize Docker containers to manage microservices supporting test data ingestion and analytics; deploy in cloud environments (AWS preferred). Protocol Integration: Build connectors and interpreters for test data protocols including CAN, Modbus, TCP/IP, and AVL-specific data formats like MDF or ASAP3. Continuous Improvement: Streamline ETL processes for AVL dyno systems, focusing on speed, reliability, and scale to support continuous testing workflows.   Qualifications: Direct experience with AVL PUMA Open, CONCERTO, or other AVL software platforms in a powertrain test or dyno environment. Skilled in Python for ETL workflows, including libraries like Pandas and PyMDF. Familiarity with AWS services (e.g., S3, Lambda, EC2) for data processing and storage. Proficient in Docker and Git. Experience with CI/CD pipelines is a plus. Previous work with LabVIEW and SCADA systems is an asset.   Technical Skills: Strong understanding of test lab data acquisition systems and sensor integration. Knowledge of automotive protocols: CAN, Modbus, TCP/IP, and optionally, CCP/XCP or ASAP3. Experience with relational databases like PostgreSQL or time-series DBs like InfluxDB.   Soft Skills: Strong problem-solving and analytical skills. Effective communicator, especially in cross-functional lab environments. Detail-oriented with a proactive mindset and ability to manage competing priorities.   Education:  Bachelor’s degree in Electrical & Computer Engineering, Computer Science, or a related field.   What Makes You Stand Out from the Crowd? Direct experience designing or scaling test data systems in an AVL-based dyno lab. Work experience in the EV or automotive industry. Proven ability to interface and automate reporting from AVL CONCERTO or export data to enterprise platforms. Familiarity with test lab asset management and metadata tracking. Passion for supporting electric powertrain development through reliable and insightful test data infrastructure. Compensation Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits : Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (hourly) $119,400 — $164,230 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . If you are a California resident, please refer to our California Candidate Privacy Notice . To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.   

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. We are looking for a Data Engineer to join our Powertrain Data and Automation Team supporting Battery teams at Lucid. This role is critical in designing, building, and maintaining robust data pipelines that power insights for validation and test operations. You will be responsible for acquiring, transforming, and visualizing data from diverse sources, ensuring data is accurate, timely, and actionable.   Responsibilities: Data Pipeline Development: Build, and maintain data pipelines for test and validation labs, including data acquisition, ETL processes, and data storage solutions with guidance from Senior data engineers. Data Acquisition: Develop and integrate solutions for acquiring data from test equipment, ensuring proper setup and calibration of data acquisition systems. Data Visualization: Create dashboards and reports to visualize key metrics and insights using tools like Tableau and/or Grafana. Collaboration: Work closely with test engineers, validation teams, and software developers to understand data requirements and ensure seamless integration with lab operations. Technology Integration: Implement and manage containerized applications using Docker and deploy solutions in cloud environments such as AWS. Protocol Expertise: Develop systems that interface with EV industry protocols such as CAN, Modbus, TCP/IP, and other relevant standards. Continuous Improvement: Optimize ETL pipelines and data acquisition setups for performance and scalability. Qualifications: Proven expertise in Python for ETL workflows. Strong familiarity with AWS cloud services for data storage and processing. Proficient in Docker for containerization and deployment. Knowledge of EV industry communication protocols such as CAN, Modbus, and TCP/IP. Technical Skills: Experience with test equipment and data acquisition system setup. Familiarity with database systems (e.g., PostgreSQL). Knowledge of CI/CD pipelines and version control systems (e.g., Git). Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Self-driven and detail-oriented, with the ability to manage multiple priorities effectively. Education: Bachelor’s degree in electrical and computer engineering (ECE), computer science, or a related field.   What Makes You Stand Out from the Crowd? Work experience in the EV or automotive industry. Prior experience of working with chambers, battery cyclers and/or test equipment related to powertrain and/or inverter module testing systems. A solid understanding of SCADA systems and how they integrate with test and validation lab data pipelines. A creative approach to problem-solving, with examples of implementing innovative solutions in test and validation contexts. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits : Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $119,400 — $164,230 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . If you are a California resident, please refer to our California Candidate Privacy Notice . To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.   

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Company Name: Inovalon, Inc. Position Title: Health Data Scientist for Multiple Positions                Salary: $110,739 – $120,739/year Location: 4321 Collington Road (and Other U.S. Locations), Bowie, MD 20716 The Health Data Scientist is responsible for acquiring and transforming clinical & health data from Inovalon’s specialty pharmacy platform and database. Health data science involves working with intricate clinical and health data, understanding regulatory requirements, and grasping the nuances of the healthcare industry. To do so, the Health Data Scientist must extract and interpret insights from data, and accordingly identify trends and meaningful insights which will inform the maintenance and implementation of artificial intelligence algorithms used on Inovalon’s specialty pharmacy platform. The Health Data Scientist must balance the need to streamline business practices through data-driven decision making with the needs of the customer base, which include pharmacies, physicians, & patients looking to get correct prescriptions and medical information. The Health Data Scientist is therefore tasked with transforming a developed statistical or machine learning model into a working system that can be used to make predictions or insights, streamline business processes, and improve customer experience. Summary of Duties : Collect, analyze, and interpret large data sets using analytical, statistical, and programming skills. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. Automate business process, optimize customer experiences, generate revenue, perform patient targeting and other business outcomes, using sophisticated artificial intelligence (AI) algorithms, cutting edge deep learning/machine learning (DL/ML) and data models to automating business process, optimizing customer experiences, revenue generation, patient targeting and other business outcomes. Deploy and deliver AI products as user requirements and interests, such as embedded algorithm into existing product or deploy as cloud application programming interface (API). Develop company A/B testing framework and test model quality. Coordinate with different functional teams (both internal and external) to implement models and perform product maintenance. Research cutting-edge tested or applied AI algorithm and develop technical strategies to update current AI products. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications :   Master’s degree in Computer Science, Management Information Systems, Statistics, Data Analytics, Data Science, Information Technology Management, a related field of study, or foreign equivalent plus at least 2 years of experience in job offered or in any related analytics job titles. Applicants must have 2 years of experience with the following: (1) Developing Data-driven solutions; (2) modern machine/deep learning frameworks (including TensorFlow, KIeras, and Xgboost); (2) neural networks and NLP; (3) machine learning; (4) python, SQL, and regular expressions; (5) cloud deployment and web development on AWS and Microsoft Azure; (6) latex documenting; and (7) C++/C#, java, html, CSS, and JavaScript. Telecommuting Available. This role is not available for sponsorship at this time   #LI-DNI Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity.  At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That’s why Inovalon offers a valuable  benefits package  with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $110,739 — $120,739 USD If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply .  Inovalon is most interested in finding the best candidate for the job , and you may be just the right person for this or other roles.   By embracing inclusion , we enhance our work environment and drive business success. Inovalon strives to provide equal opportunit ies to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.   Inovalon is proud to be an equal opportunity workplace . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or v eteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.   To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this  link

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Location:  Inovalon strives to provide a flexible work environment for our associates. This position is a hybrid role based out of our Canonsburg, PA office. You will be aligned to working at the Inovalon office location at least two days each week, between Monday and Wednesday. You must be able to comply with this requirement. *Please note: We do not offer future sponsorship for this role.  Overview:  The Business/Data Analyst is the liaison between the design and development teams and the client to define the objectives and requirements of the client.   Finalizes the implementation process by implementing development plans. Duties and Responsibilities: Works with client to understand their requirements of the system; Works with Product development to communicate the client’s needs and provide business case for enhancement requests; Accountable for assigned functional track and deliverables, and assist QA and Support with understanding Client needs; Creating and maintaining deliverables within assigned area; Participates in testing the product before it is released to the client; Assist in triaging escalated system defects and/or providing clarification on defects and works to resolve them; Integrated as part of the full client lifecycle RFP; Demos; Project Kick-Off; Implementation; Go Live; Optimizations; Collaborate with the Product Manager on Product/Knowledge Share; Provide support to the team during implementation as well as post go live; Provide support to SME’s for client training initiatives; Document and maintain deliverables (requirements document, Configuration Design Doc, etc.); Document process workflow; Build and configure system based on design; Ensuring configuration meets requirements and works as expected; Maintain industry expertise; Provide support for internal training events as necessary; Relies on experience and judgment to plan and accomplish goals; A wide degree of creativity and latitude is expected; Maintain compliance with Inovalon’s policies, procedures and mission statement; Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; and Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Employer. Job Requirements: Minimum of 4 years of experience as a software business analyst; Minimum of 1 year of experience in a healthcare/specialty pharmacy related environment; Must be familiar with healthcare/pharmacy system designs and concepts; Possesses excellent communication, organizational and observational skills; Proficient problem-solving skills with good judgment and decision making; Must be goal-oriented and focused; Work well as a member of a team; and Possess SQL and Crystal Reports skills. Education: Associate’s degree required Bachelor’s degree in a related area of Healthcare and IT preferred. Physical Demands and Work Environment: Sedentary work (i.e. sitting for long periods of time); Exerting up to 10 pounds of force occasionally and/or negligible amount of force; Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; Subject to inside environmental conditions; and Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity.  At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That’s why Inovalon offers a valuable  benefits package  with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $84,600 — $100,000 USD If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply .  Inovalon is most interested in finding the best candidate for the job , and you may be just the right person for this or other roles.   By embracing inclusion , we enhance our work environment and drive business success. Inovalon strives to provide equal opportunit ies to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.   Inovalon is proud to be an equal opportunity workplace . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or v eteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.   To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this  link

Short-term, part-time, flexible working schedule  Join our team as a Field Data Collector! In this role, you will conduct parking data collection surveys at various locations within the city, taking photos and entering notes using the mobile app. Your observations will be used to test and improve parking data.  The work will be carried out within the city of Detroit, MI, United States. Payment is 15$-25$ per hour. Responsibilities: Collect all relevant parking data at a test site, both curbside and adjacent parking lots, and submit data through the mobile application Take photos of all unique parking signs and any other indicators on the block/lot that relate to parking   Count unoccupied on-street parking spaces on each selected block   Notate data errors in the mobile application when observed Requirements Having a recent and capable smartphone model with a data plan Attention to the details Experience in working with maps, geospatial data will be a plus Ability to walk for extended periods