Data modeler work from home jobs - 1156 jobs

Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm. Learn more about us and our work at quanata.com. The role: We're looking for a Senior Data Scientist to be the strategic anchor for a functional team. You won't just be building models; you'll be a key influencer who translates ambiguous business challenges into powerful, end-to-end ML solutions. Your mission is to take ownership of the data science lifecycle, delivering automated and augmented decisions that create a quantifiable impact on the business. #J-18808-Ljbffr

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. Company and Position COMPANY: DataRobot Inc. POSITION: Senior Execution Data Scientist WORK LOCATION: 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) Responsibilities Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. Minimum Requirements Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation 3 years of experience consulting with customers on end-to-end data science solutions 3 years of experience building and implementing machine learning or AI models into production Experience with each of the following: Machine learning and predictive modeling Building and implementing predictive models, data science, and complex statistical analysis Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries Developing predictive models, AI algorithms, and systems to generate significant business insights Integrating predictive models and AI algorithms into client environments Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization Experience requirements may have been satisfied concurrently. Terms of Employment Full time (40+ hours per week). $190,000-$232,750 per year. Benefits Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD&D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flex paid time off, quarterly reboot days and paid parental leave. To Apply Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. EEO and Privacy DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. #J-18808-Ljbffr

Please no third party applicants A pharmaceutical company is looking for a Senior Biostatistician for a 6-month renewable project. This consultant must be very hands-on and have proven experience supporting regulatory submissions. In addition, they must possess strong programming skills (TLFs) and CDISC expertise. Strong communication is critical. EXPERIENCE & QUALIFICATIONS 8-10+ years of biostatistics experience in the pharmaceutical industry with recent Sponsor side experience Minimum of MS degree in Biostatistics/Statistics Must have recent hands-on statistical experience such as drafting SAPs and conducting programmatic TLF reviews Proven track record with regulatory submissions Ability to analyze data and provide guidance to the statistical programming team if needed Excellent communication skills to interpret and explain complex results to the study team LOCATION: Work will be performed remotely and prefer to accommodate PST core working hours.

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

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

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

Movement Labs is an incubator and consulting firm that uses technology, data, and experimentation to stop fascism and build progressive power. We help progressives win and defeat MAGA extremists through year-round work grounded in research and real-world testing. Our team partners with leading advocacy groups, grassroots organizers, and electoral campaigns to develop innovative tactics, win elections, and shift power for the long term. As the R&D powerhouse for the progressive movement, we've run over 100 randomized control trials (RCTs) on voter behavior and helped hundreds of organizations increase their impact. We work hard, and the environment evolves rapidly. We are adaptable, nimble, and shift quickly as needed to meet the moment. We are looking for candidates that thrive in this type of environment. We seek a Senior Data Scientist to lead analytics work on our Experiments Team. Our ideal candidate is a fast-mover and knows how to turn data into action. They love digging into tough questions and coming up with answers that drive real change. Meticulous and committed to rigor, our person is relentless about getting the right answer. As Senior Data Scientist, you'll solve some of the highest-priority questions in the progressive research community while working alongside one of the most ambitious research teams in the space. When you generate new ideas, we move quickly to implement them; your insights won't sit on a shelf and will directly shape programs in the field. You'll play a pivotal role in winning elections up and down the ballot, developing research that impacts the entire progressive ecosystem, and fighting fascism. This role is fully remote. Responsibilities: Develop and lead in-depth analyses of voter file data, survey responses, program implementation data, and other relevant datasets to extract actionable insights and inform strategic decisions Design creative analytical approaches to answer novel research questions, translating ambiguous problems into rigorous, data-driven solutions Perform meta-analyses of dozens of randomized controlled trials conducted across multiple election cycles to inform future program design Collaborate with the Experiments team to design and execute randomized controlled trials (RCTs) aimed at netting Democratic votes and stopping fascism Evaluate the effectiveness of alternative targeting approaches using existing data, proposing data-driven recommendations for continuous improvement Develop and implement methodologies to assess heterogeneous treatment effects, providing nuanced insights into the impact of interventions across different voter segments Build and validate predictive models to enhance the targeting of voter contact programs, optimizing resource allocation and maximizing outreach effectiveness Visualize and present results of analyses to technical and lay audiences At least five years of experience with the responsibilities described Exceptional project management skills, with a proven ability to manage complex analytical projects from inception to completion, ensuring timely delivery of high-quality results Experience aligning analyses with strategic objectives, using data-driven insights to inform and influence programmatic decisions and long-term planning Experience with a variety of non-randomized methods for causal inference, such as matching and regression discontinuity designs Adept at figuring out what data will be needed and organizing data for analysis Proficiency in building predictive models, including data preprocessing, feature engineering, model selection, and evaluation Experience designing, executing, and analyzing randomized controlled trials Required programming experience: SQL and either R or Python Preferred qualifications: Expertise and experience in elections, voter contact programs, or voter file data. Experience with advanced causal inference methods, including heterogeneous treatment effect modeling and machine learning-based approaches Movement Labs maintains a transparent salary structure with clear levels of advancement. The salary range for this role is $100,000-$119,000 depending on experience, with a geographic COLA added based on employee location. Excellent health, dental, and vision benefits, 401(k) matching, and unlimited Paid Time Off. This position is eligible for the collective bargaining unit. We're looking for candidates with a wide range of skills and experience. If you're excited about the job, even if you don't match all the characteristics, we encourage you to apply. Applications submitted by January 16 will be given priority. The application process includes a first round interview, an exercise, and a final interview. We hope candidates will start by mid-March. Applicants must be legally eligible to work in the United States. #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

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 technology company is seeking a highly skilled Product Engineer to join their robotics observability platform. This role involves designing user interfaces, backend services, and data processing for large volumes of sensor data. Candidates should have a minimum of 5 years in high-performance software, experience with REST APIs, and familiarity with technologies like TypeScript and Rust. The position is remote-friendly, with a supportive work environment and strong team dynamics. #J-18808-Ljbffr

A leading AI-driven data solutions company in California is seeking a Senior Software Engineer to enhance AI capabilities and build scalable data infrastructures. You will design robust data systems and integrate advanced AI solutions for data teams. Ideal candidates have strong backgrounds in Python, SQL optimization, and experience with cloud platforms. This role offers competitive salary and opportunities for professional development. #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

A dynamic tech startup in San Francisco is seeking a Senior Engineer to join the core platform team. The ideal candidate will build a reliable and extensible distributed data platform using AWS, Kubernetes, and Docker. Experience in high-scale data systems is essential as is a collaborative spirit in a remote-first environment. Join us to be part of our mission to revolutionize data usage for go-to-market teams. #J-18808-Ljbffr