Data integrity analyst jobs near me - 2,368 jobs

A leading analytics firm is seeking a Finance Associate to support analytical and operational finance work. This remote independent contractor role requires the review of financial datasets, assisting with model updates, and producing structured summaries. Ideal candidates will have strong analytical and spreadsheet skills and experience in finance or business operations. The position offers a flexible workflow with compensation of $45 to $90 per hour. #J-18808-Ljbffr

A technology company in San Francisco is seeking a seasoned Staff Data Analyst to lead data cleanup initiatives across Engineering and Research. You will identify opportunities to improve data quality and leverage your expertise in Python and SQL to transform and cleanse data. With 8-12 years of experience in data analytics, your role includes developing solutions for complex data issues and managing projects across multiple teams. This position offers competitive compensation and generous benefits including unlimited PTO and equity grants. #J-18808-Ljbffr

A leading healthcare technology company is seeking a Data Scientist in San Francisco to optimize AI products and create analytics for medical professionals. Candidates should have over 5 years of experience and advanced knowledge in statistical concepts and machine learning. This role offers a competitive salary between $170,000 and $248,000, plus comprehensive benefits including health offerings and wellness programs. Join us to make an impact in the healthcare industry. #J-18808-Ljbffr

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart‑sensor systems to high‑performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: You will be joining the data science team that is focused on model optimization, will research, prototype, and validate low‑precision techniques that make neural networks leaner and faster on the ChimeraGPNPU. Your analyses will set the quantization recipes that ship in the ChimeraSDK and influence future hardware features. Responsibilities: Design statistically rigorous experiments to compare PTQ, QAT, pruning, and mixed‑precision schemes on vision, language, and multimodal models. Build calibration datasets; develop Python notebooks/dashboards to track accuracy, latency, power, and memory trade‑offs. Perform layer‑ and token‑level error analysis to guide numerical‑format choices. Partner with compiler team to convert your findings into turnkey SDK flows and reference configs. Publish internal whitepapers, external benchmarks, and present results to customers and at industry events. Monitor academic literature in compression and efficient inference; translate promising ideas into reproducible prototypes. Qualifications: M.S./Ph.D. in CS, EE, Applied Math, or similar, with5+years in ML model optimization or data‑science‑driven research. Deep grasp of fixed‑point arithmetic, quantization theory, and statistical calibration. Fluent in Python, PyTorch or TensorFlow, NumPy/Pandas/SciPy, and data‑viz tools (Matplotlib/Plotly). Hands‑on with at least one quantization toolkit (PyTorchFX/PTQ/QAT, TF‑Lite, ONNX‑Runtime, TVM, MLIRQuant). Working knowledge of CNNs, Transformers and DNN architectures. Benefits: Provide competitive salaries and meaningful equity. Health Care Plan (Medical, Dental & Vision). Retirement Plan (401k, IRA). Life Insurance (Basic, Voluntary & AD&D). Paid Time Off (Vacation, Sick & Public Holidays). Family Leave (Maternity, Paternity). Work From Home. Free Food & Snacks. Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real‑time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co‑founded by technologists from MIT and Carnegie Mellon, who were previously the technical co‑founders of the Bitcoin computing company 21. Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability. #J-18808-Ljbffr

A fast-growing tech company in San Francisco is seeking a Staff Data Scientist to drive the development of AI solutions optimizing procurement for enterprise clients. Responsibilities include leading data science initiatives, designing ML models, and collaborating with cross-functional teams. Candidates should have over 6 years of experience, strong technical skills in Python and SQL, and a relevant degree. This role offers a competitive salary and remote-first culture. #J-18808-Ljbffr

A pioneering AI supplier intelligence firm based in San Francisco is hiring a Data Scientist to engage and drive activity in a buyer-supplier marketplace. The ideal candidate will have 4-7 years of data science experience, strong skills in Python and SQL, and a passion for AI. This role involves developing AI features, analyzing supplier data, and shaping strategies across teams. The company offers competitive compensation, a remote-flexible culture, and a commitment to innovation. #J-18808-Ljbffr

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands‑on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big‑data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end‑to‑end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high‑quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine‑tune Large Language Models (LLMs) and build LLM‑driven applications. Implement Retrieval‑Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production‑grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross‑Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. Based in San Francisco, California, Azumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility. We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at *************** Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands‑on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit‑learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI‑specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big‑data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands‑on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration #J-18808-Ljbffr

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer‑centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a technical Data Science leader with a solid background in analytics and the consumer risk domain who is excited about solving hard Data Science and analytics problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of risk optimization strategies that will have a vast impact across underwriting, fraud prevention, and collections. These risk optimization strategies are central to our business and have a direct impact on our customers every day. You will design, execute, and evaluate experiments to drive continuous learning and improvement in our risk optimization processes. What You'll Do Leverage advanced analytics and machine learning models to optimize Credit Genie's risk strategies across credit, fraud, and collections Own the development and delivery of risk insights, driving data‑informed decisions that minimize losses while enabling sustainable business growth Monitor and analyze key risk KPIs, identify emerging loss trends, and propose strategy enhancements to continuously improve approval and portfolio performance Collaborate cross‑functionally with Product, Engineering, Data, and Machine Learning teams to align on shared objectives, provide strategic insights, and deliver actionable solutions Act as a strategic risk advisor to business stakeholders, translating complex analyses into clear, high‑impact recommendations Tackle ambiguous, high‑impact problems with creativity and analytical rigor, developing novel solutions that directly improve customer experience and portfolio outcomes Requirements A Bachelor's degree in Statistics, Mathematics, Business, Economics, or related fields; an advanced degree is preferred 8+ years of experience analyzing data using SQL or Python. Proficiency in Python for data processing and modeling is preferred Hands‑on experience in risk strategy within payments, lending, banking, or financial institutions is a plus Proven ability to design, execute, and interpret experiments (e.g. A/B testing or causal analysis) to measure impact and inform risk strategy Exceptional problem‑solving abilities, analytical rigor, and the ability to translate complex findings into actionable insights for non‑technical audiences Strong organizational skills with the ability to manage multiple projects in a fast‑paced environment and meet tight deadlines Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. 100% company‑paid medical, dental, and vision coverage for you and your dependents on your first day of employment. Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness 401(k) with a 2.5% match and immediate vesting Meal program for breakfast, lunch, and dinner Life and accidental insurance Flexible PTO 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. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview. #J-18808-Ljbffr

A leading fintech company is seeking a Staff Data Scientist to develop machine learning models that enhance financial products. The ideal candidate will have over 6 years of experience in data science, machine learning, and programming skills in Python and SQL. This remote-first role will involve collaborating across functions to solve complex business problems. Competitive pay, flexible health plans, and opportunities for growth are offered. #J-18808-Ljbffr

An innovative biotech company is seeking a Global Head of Data Science to lead biostatistics and data management for their clinical trials. This strategic leadership role involves developing data strategies to accelerate drug discovery and ensuring compliance with global regulatory standards. The ideal candidate holds a PhD and has over 10 years of experience in biostatistics and oncology trials, with a strong focus on leading high-performance teams. Join us in transforming cancer treatment with groundbreaking therapies. #J-18808-Ljbffr

Analytica is seeking a Data Scientist to support long‑term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest‑growing businesses. We offer competitive compensation with opportunities for bonuses, employer‑paid health care, training and development funds, and 401(k) match. Responsibilities Pre‑processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre‑processing functions such as stop word removal, stemming, lemmatization, and tokenization. Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF‑IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques). Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc. Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results. Visualization - Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization's business challenges. Qualifications Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar. High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling. At least four years of experience developing scalable, production‑ready NLP solutions using scikit‑learn, Keras, TensorFlow, PyTorch, Spark NLP. Experience using git/github to version control source code. Experience leveraging transformer architecture to develop NLP models. Experience with open source NLP packages such as Gensim, SpaCy, or NLTK. Experience with BERT, GPT-J, RoBERTa, T5 or other transformers. Experience with GenAI and Prompt Engineering is a plus. Experience in Databricks and MLFlow is a plus. Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus. Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract. Experience coordinating and maintaining user stories. Must be a US citizen. Must be able to obtain and maintain a Public trust security clearance. About Analytica Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award‑winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest‑growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. #J-18808-Ljbffr

Select how often (in days) to receive an alert: Lead Cyber Watch Ops Analyst - 90402954 - null Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of ‘Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, ‘Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. SUMMARY The Cyber Watch Operations Analyst is a key position responsible for supporting the day-to-day operations of our Cyber Threat Command Center. In this role, you will have a critical impact with key stakeholder engagement, cybersecurity incident management, incident response, and coordination. Your expertise in cyber incident response, cybersecurity incident handling, and cyber threat analysis will be instrumental in protecting our organization's systems, data, and reputation. ESSENTIAL FUNCTIONS Ability to work under pressure, prioritize tasks, and meet deadlines in a fast-paced environment. Ability to think critically and like threat actors. Strong analytical and problem-solving skills, with the ability to assess complex situations and make informed decisions. Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means. Ability to apply techniques for detecting host and network-based intrusions using intrusion detection technologies. Ability to interpret the information collected by security tools. Knowledge of attack vectors, threat tactics, and attacker techniques. Preferred ability for effective communication and interpersonal skills, work well with others in an integrated team environment, and must be self‑motivated. Preferred knowledge and familiarity with Operational Technology (OT), Industrial Controls Systems (ICS) or Supervisory Control and Data Acquisition (SCADA) systems but not required. Responsible for delivery of security solutions for activity‑based assignments, executing and resolving problems within specified area. Monitor Cyber security anomalies, investigate, resolve and escalating Cyber Security events, incidents and problems. Search for potential vulnerability, exploit, or “0” day based on user behavior, endpoint threat detection, network behavior analytics, artificial engine alarms and managed security reports. Review Firewall, IDS/IPS logs, web content filtering logs, NetFlow device logs, antivirus logs. Lead Cyber Security tools (SIEM, EDR, CASB etc.) administration. Lead periodical checks for company policy violation / Support the investigation on policy violation. Lead Cyber security audits and inspecting security logs to uncover possible security violations. Generating, gathering, and tracking security metrics, developing scorecards for the metrics, and communicating the results. Supports and participates in formal reporting related to Cyber Security Operations. Monitor security events and develop Cyber security controls across the enterprise. Lead Security support efforts for application and infrastructure related projects. Lead application security risk assessments for new or updated internal or third‑party applications. Conduct quality test activities and validate test completeness in preparation for go‑live. Responding and resolving problems, security incidents and forensic investigations. Investigates, resolves and escalates problems. Monitors and analyzes metrics to ensure customer satisfaction and vendor performance. Lead vulnerability and risk analysis using commercial tools or custom scripts and documenting found gaps. MINIMUM QUALIFICATIONS Bachelor's degree in computer science, Information Systems, or related field plus 6+ years relevant experience required or 9+ years of relevant work experience required to satisfy education and experience requirements. Professional security‑related certifications (e.g., Security+, Certified Ethical Hacker (CEH), Certified Information Systems Security Professional (CISSP), etc.). Must possess excellent customer service, strong communication and interpersonal skills, work well with others in an integrated team environment, and must be self‑motivated. Strong analytical skills. Experience with SIEM, EDR, CASB, IDS/IPS, AV, DLP UEBA, FW, etc. technologies. Experience performing vulnerability management assessments. Experience working in a Cyber Security Operations (or SOC) as an analyst. PREFERRED QUALIFICATIONS Master's degree in information technology, Cyber Security, or equivalent. Experience with scripting languages. 8+ years' experience in cyber security specialization (compliance, information security program management, continuous monitoring, vulnerability assessment). WORK ENVIRONMENT Work is performed in a Remote Work Environment. May require travel up to 10% of the time. Requires on‑call status. After hours, weekend and periodic shift work may be required. COMMUNICATIONS AND INTERPERSONAL SKILLS Must have excellent oral and written communication skills. The salary/hourly range is $103,700-$134,460. Pay is based on several factors including but not limited to education, work experience, certifications, internal equity, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo‑pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short‑term incentive bonus based on factors such as individual and company performance that is commensurate with the level of the position and/or long‑term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401(k) retirement plan with employer match; life insurance; short and long‑term disability insurance; paid time off; backup care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here. Requisition ID: 165673 Work Arrangement: 02-Remote Optional Click here for more information about work arrangements at Amtrak. Relocation Offered: No Travel Requirements: Up to 25% You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions require a pre‑employment background check that includes prior employment verification, a criminal history check and a pre‑employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre‑employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR § 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety‑sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety‑sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. §1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law. #J-18808-Ljbffr

A nonprofit organization is seeking two seasonal part-time Application Readers to support the admissions process for their AI4ALL Ignite Accelerator program. The role involves reviewing applications, labeling data, and communicating with students about their application status. The ideal candidates should have 1-2 years of experience, strong communication skills, and a commitment to diversity in AI. This position is fully remote and offers flexible hours with a pay rate of $22 per hour. #J-18808-Ljbffr

A leading DeFi firm is seeking a candidate for a key role in quantitative research and protocol partnerships. This position involves evaluating yield strategies, conducting risk assessments, and developing competitive analytics. Ideal candidates will have experience in crypto-native environments, fluency with on-chain data tools, and a strong interest in DeFi innovation. This role offers remote work within the US and competitive compensation packages. #J-18808-Ljbffr

A leading healthcare AI company based in Chicago is seeking a Machine Learning Engineer/Data Scientist to develop AI solutions that improve patient care. You will design and optimize machine learning models, collaborate with diverse teams, and stay updated on industry innovations. Ideal candidates possess a strong background in machine learning, proficiency in programming languages like Python, and experience with cloud platforms. Join us for a competitive salary and opportunities for personal development and equity participation. #J-18808-Ljbffr

A leading scientific data solutions company in Boston is seeking a skilled leader to guide their Scientific Data Workflow Automation team. The ideal candidate will have over 8 years of Python experience, 3 years in Life Sciences, and proven project management skills. This role includes mentoring engineers, managing diverse projects, and delivering high-quality client projects in a fully remote environment. Competitive benefits include unlimited PTO and 100% employer-paid benefits. #J-18808-Ljbffr

A prominent financial technology firm is seeking a Lead Data Analyst responsible for driving advanced analytics across product and business domains. This role involves leading analytics initiatives, designing measurement strategies, and advising executives on data strategy. The ideal candidate has over 5 years of experience and is proficient in SQL and Looker. The position is remote, offering great benefits to ensure employees' well-being and work-life balance. #J-18808-Ljbffr

The WMS Analyst plays a critical role in driving warehouse execution by supporting systems processes, operational performance, and workforce enablement. This role serves as the functional bridge between warehouse operations and enterprise systems, with deep hands-on expertise in Oracle WMS and integration with the Baan ERP system. Acting as both a systems subject matter expert and operational leader, the WMS Analyst oversees multiple workstreams in real time, prioritizes workloads based on staffing and capacity, and ensures system-driven workflows execute efficiently on the production floor. The role partners closely with Operations Managers and Systems Supervisors to communicate shifts in priorities, resolve issues, and maintain continuity of operations. This is a highly visible, floor-facing role that blends systems, training, and operational accountability. Work Location: Onsite - 4465 Industrial Center Dr, Obetz, OH 43207 Work Schedule: Monday-Friday, 7:00 AM - 3:30 PM Monday-Thursday, 12:00 PM - 10:30 PM Key Responsibilities Serve as the functional expert for Warehouse Management Systems, with primary focus on Oracle WMS and working knowledge of Baan ERP Monitor, manage, and release picking, shipping, replenishment, and forklift work through system control boards Transfer and coordinate work activities between Oracle and Baan as required to maintain operational flow Oversee multiple operational task queues, reprioritizing workloads based on staffing levels, capacity, and business needs Partner with Operations Managers and Systems Supervisors to communicate real-time changes in workload, priorities, and execution plans Research, analyze, and resolve system and process issues related to: Replenishment and allocations Inventory control and bin status Product master setup Picking exceptions and discrepancies Process material shipment requests with speed, accuracy, and attention to detail Develop, document, and maintain standard operating procedures (SOPs) to ensure consistency and system compliance Create and deliver system training for associates and department leadership; support onboarding and ongoing education Ensure documented procedures are actively followed and reinforced on the floor Communicate workflow changes clearly and consistently via radio, phone, email, and in-person Maintain strong two-way communication across teams and leadership levels Promote safety, housekeeping standards, and overall team performance Support production and warehouse operations directly during non-peak periods, including performing manual labor as needed Collaborate with peer supervisors and cross-functional partners to drive operational alignment Perform other duties and special projects as assigned by warehouse leadership Qualifications & Experience High school diploma or equivalent preferred Minimum 2+ years of experience in warehouse operations, logistics, or distribution environments Strong hands-on experience with Warehouse Management Systems (Oracle strongly preferred; SAP and/or Baan a plus) Proven ability to manage multiple priorities and task queues in a fast-paced, high-volume environment Experience delivering system training and creating process documentation Strong problem-solving skills with the ability to troubleshoot inventory, picking, and system issues Proficiency in Microsoft Office (Excel, Word, Outlook) Excellent verbal and written communication skills; comfortable interacting with frontline teams and leadership Highly organized, detail-oriented, and deadline driven Willingness and ability to work on the production floor and perform manual labor as required Reliable, self-motivated, and able to work independently with minimal supervision Why This Role Matters This role is a linchpin between systems and execution. Success here directly impacts throughput, inventory accuracy, team effectiveness, and customer fulfillment. The right candidate will thrive in ambiguity, move fast without breaking process, and bring both operational credibility and systems fluency to the floor.

A client of Sharp Decisions if looking for a Business Analyst. This role is HYBRID in Marysville, OH- a multi-year contract with no end date, W2 only. Daily Task Performed: - Assist in gathering, documenting, and validating business requirements for ServiceNow modules and enhancements. - Support configuration tasks within ServiceNow under the guidance of senior developers and architects. - Help build and maintain basic workflows, forms, UI policies, and simple scripts. - Participate in testing activities, including test case creation, execution, and defect tracking. - Support data collection, data validation, and migration activities during regional rollouts. - Provide onsite support to project teams and end users, including troubleshooting and issue triage. - Assist with project documentation, training materials, and user guides. Position Success Criteria (Desired) - 'WANTS' - ServiceNow Certified System Administrator (CSA) or progress toward certification. - Experience supporting enterprise applications or participating in system rollouts. - Exposure to Agile methodologies or project delivery frameworks. - Experience in manufacturing or automotive environments is a plus.