Post job

Statistician remote jobs - 577 jobs

  • Data Scientist

    Asana 4.6company rating

    Remote job

    The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands‑on mentorship, elevating the team's technical bar and influencing overall business strategy through best‑in‑class modeling and experimental design. This role is based in our San Francisco office with an office‑centric hybrid schedule. The standard in‑office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in‑office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi‑touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands‑on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state‑of‑the‑art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large‑scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert‑level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $248,000 - $316,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long‑term savings or retirement plans In‑office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor's and Inc.'s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in‑person collaboration, incorporating flexibility that adds hybrid elements to our office‑centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #J-18808-Ljbffr
    $248k-316k yearly 4d ago
  • Job icon imageJob icon image 2

    Looking for a job?

    Let Zippia find it for you.

  • Global Markets Data Scientist - Inference & Growth (Remote)

    Airbnb, Inc. 4.6company rating

    Remote job

    A global hospitality company is seeking a Senior Data Scientist to enhance experiences for users worldwide. You will collaborate with cross-functional teams, conduct in-depth research, and apply your expertise in causal inference. Ideal candidates have over 5 years of relevant experience or a PhD in a related field. This position allows for remote work with occasional office attendance, promoting an inclusive environment for diverse talents. #J-18808-Ljbffr
    $148k-191k yearly est. 1d ago
  • Forward Deployed Data Scientist

    Intercom 4.8company rating

    Remote job

    What's the opportunity? Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always‑on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What will I be doing? Drive the adoption of Fin by helping customers automate and scale their support operations. Embed with strategic customers to understand their support workflows, data, and business challenges - to identify and implement opportunities where AI can deliver measurable impact. Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin. Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development. Use AI to prototype, test, and scale data‑driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact. What skills do I need? Proven ability to apply data science in real‑world business contexts to drive measurable outcomes. Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering. High adaptability and ownership: able to shift between deep technical analysis and high‑level strategic framing. Excellent communication skills, both technical and non‑technical. Rapidly prototype bespoke solutions for customers - knowing when lightweight analysis is sufficient versus when to scale. Excellent SQL skills and fluency in Python/R, with experience applying analytical and statistical methods to business problems. Experience with AI/ML evaluation, LLM‑driven applications, or conversational AI. Willing to travel and work on‑site with customers to build deep relationships and uncover insights firsthand. Bonus skills and attributes Experience in technical consulting, customer‑facing analytics, or SaaS product data science. Experience applying AI to scale the data science workflow. Benefits Competitive salary and meaningful equity Comprehensive medical, dental, and vision coverage Regular compensation reviews - great work is rewarded! Flexible paid time off policy Paid Parental Leave Program In‑office bicycle storage Fun events for Intercomrades, friends, and family! *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $197,600 - $225,500. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status or any other legally recognized protected basis under federal, state or local law. #J-18808-Ljbffr
    $197.6k-225.5k yearly 4d ago
  • Data Scientist - Model Optimization

    Quadric Inc.

    Remote job

    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
    $108k-155k yearly est. 5d ago
  • Principal Data Scientist, Machine Learning (Growth)

    Gemini 4.9company rating

    Remote job

    About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Data At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists - all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting‑edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we're united by a shared mission: to unlock the full potential of Gemini's data to drive growth, efficiency, and customer impact. The Role: Principal Data Scientist, Machine Learning (Growth) As a Principal Data Scientist focused on Machine Learning for Growth, you'll play a key role in improving our customer experience from onboarding to new product adoption. You'll work cross‑functionally with product, engineering, and operations to design and deploy models that improve customer onboarding and product adoption across Gemini's ecosystem. You'll own the full machine learning lifecycle from identifying growth signals and engineering features to training, evaluating, and deploying models in production. You'll partner with stakeholders across Marketing, Exchange Growth, and Credit Card to profitably improve customer growth. This is a high‑impact, hands‑on individual contributor role with opportunities for technical leadership and mentorship. This role is required to be in person twice a week at our San Francisco or New York City. Responsibilities Analyze large, complex datasets to identify opportunities to proactively improve onboarding and product adoption opportunities and engineer predictive features using internal and external data sources. Design, train, and deploy machine learning models to identify growth opportunities, including lifetime value, marketing channel optimization, and product cross‑sell models. Build and maintain end‑to‑end data and model pipelines for marketing and growth, including onboarding & adoption anomaly detection and behavioral profiling of growth drivers. Evaluate model performance through experiments, backtesting, and continuous monitoring to improve adoption rates and improve customer acquisition cost. Partner with product managers, engineers, and customer service operations to translate model outputs into effective growth strategies and user‑facing features. Communicate findings and recommendations to technical and non‑technical audiences, influencing strategy and prioritization. Mentor and guide more junior and mid‑level data scientists & machine learning engineers: lead code reviews, design reviews, and best practice evangelism. Help recruit and onboard new talent, shaping the future of Gemini's machine learning discipline. Stay up to date on new tools, technologies, and machine learning approaches, bringing proposals and proof‑of‑concepts when appropriate. Minimum Qualifications 10+ years of experience (7+ years with PhD) applying data science and machine learning in financial, payments, or B2C platforms. 5+ years of experience developing, deploying, and maintaining production‑grade ML models, ideally for real‑time or large‑scale applications. Strong proficiency in Python and relevant modeling libraries (eg, scikit‑learn, xgboost, TensorFlow, PyTorch) and SQL. Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar. Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark). Demonstrated ability to work cross‑functionally with product, engineering, and operations teams. Excellent communication skills and the ability to translate complex technical concepts into actionable insights. Preferred Qualifications Master's degree or equivalent experience in a quantitative field. Domain expertise in crypto / blockchain / Web3 data (on‑chain data, DeFi protocols, transaction analytics). Experience with lifetime value, marketing mix, or product recommendation models in fintech, banking, or crypto. Understanding of model governance, interpretability, and fairness in regulated financial contexts. Experience mentoring data scientists / machine learning engineers or contributing to technical best practices within a team. Proven experience in recruiting, mentoring, leading design discussions, and influencing data science and machine learning best practices across teams. It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long‑term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range: The base salary range for this role is between $192,500 - $275,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in‑person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and 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 Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #J-18808-Ljbffr
    $192.5k-275k yearly 5d ago
  • Staff Data Scientist, Risk

    Creditly Corp

    Remote job

    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
    $108k-155k yearly est. 2d ago
  • Data Scientist - AI Marketplace (Remote)

    Scoutbee

    Remote job

    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
    $108k-155k yearly est. 5d ago
  • Data Scientist, Applied AI - Latin America - Remote

    Azumo, LLC

    Remote job

    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
    $108k-155k yearly est. 5d ago
  • Early-Career Data Scientist & Economist - Hybrid Role

    Evenup

    Remote job

    A fast-growing SaaS company in San Francisco is seeking an Economist / Data Scientist to join their analytics team. The candidate will drive data-informed decisions and apply expertise in causal inference and econometrics to enhance pricing and product monetization strategies. This role requires strong skills in R and Python, and a PhD in Economics is preferred. The position offers a hybrid work model with attractive benefits and perks. #J-18808-Ljbffr
    $108k-155k yearly est. 5d ago
  • AI Data Scientist - Insights for AI Products (Hybrid)

    Gamma.App

    Remote job

    A technology company in San Francisco is seeking a Data Scientist to turn user data into actionable insights. You will design experiments and build dashboards to assess AI model performance and guide product decisions. The ideal candidate will have 3-5 years of experience in a relevant field, strong statistical foundations, and proficiency in Python and SQL. This role is deeply collaborative, requiring you to work closely with product, engineering, and design teams to shape product features. Join a passionate team that values creativity and curiosity. #J-18808-Ljbffr
    $108k-155k yearly est. 4d ago
  • Remote Staff Data Scientist, Procurement AI

    Cervin

    Remote job

    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
    $108k-155k yearly est. 2d ago
  • Remote ML Engineer & Data Scientist - Healthcare AI

    Contrast Ai Inc.

    Remote job

    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
    $70k-97k yearly est. 4d ago
  • Data Scientist - Hybrid | Mountain View, CA | 6-Month W2 Contract

    Regent Strategic Solutions Inc.

    Remote job

    Job Title Data Scientist Duration 6-Month Contract (W2) Experience Level 6-8 Years Open Positions 4 Visa Status Open to All Visa Types Regent Strategic Solutions Inc is hiring Data Scientists for a 6-month W2 contract based in Mountain View, CA. This hybrid role offers an exciting opportunity to work on complex datasets and build models that solve real-world business challenges. Ideal candidates will have strong analytical, programming, and data visualization skills. Key Responsibilities Develop and maintain analytical models using machine learning techniques including regression, decision trees, and NLP Perform exploratory data analysis (EDA) and generate actionable business insights Build and maintain interactive dashboards and reports using Qlik or Tableau Write efficient SQL and Python scripts for data extraction, transformation, and processing Conduct ad hoc analysis to support cross-functional initiatives Collaborate with internal teams to define data requirements and deliver solutions Preferred Qualifications Proficiency in SQL and Python Hands-on experience with Tableau or Qlik for data visualization Solid understanding of machine learning algorithms and practical application Familiarity with GenAI technologies is a plus Strong communication and critical thinking skills How to Apply 📧 Please send your updated resume to: ********************** 📞 Contact: ********** Join a data-driven team that values innovation, collaboration, and impactful insights. Apply now to be part of a forward-thinking environment. #J-18808-Ljbffr
    $107k-155k yearly est. 5d ago
  • Hybrid Data Scientist - AI/ML for Commercial Solutions

    Visa Inc. 4.5company rating

    Remote job

    A global payments technology company in Foster City is seeking a Data Scientist to leverage Visa's rich datasets to solve impactful business problems. You will brainstorm innovative solutions, extract and analyze data to provide actionable insights, and collaborate with cross-functional teams. The role requires at least 5 years of experience with relevant education. The estimated salary range is competitive with comprehensive benefits including health insurance and a retirement plan. #J-18808-Ljbffr
    $107k-144k yearly est. 3d ago
  • Data Scientist, Mid - Remote/Hybrid ML & AI Impact

    Phase2 Technology 3.9company rating

    Remote job

    A leading technology company is seeking a Mid Data Scientist in San Diego, California. In this role, you will analyze diverse data sets using advanced data analytics techniques to deliver actionable insights for complex problems. The ideal candidate will have a bachelor's degree, experience in data science, and a passion for transforming data into meaningful information. Join us to leverage AI and machine learning to tackle global challenges and drive data-driven decision-making. #J-18808-Ljbffr
    $94k-132k yearly est. 1d ago
  • Data Scientist II - ML & Analytics for Impact (Hybrid)

    Intrinsic First

    Remote job

    A technology solutions company in San Diego is looking for a skilled Data Scientist II to leverage analytics and machine learning to drive business impact. The ideal candidate has a Master's degree in a related field and 2-4 years of experience in data science. You will collaborate with teams to design data-driven solutions, ensuring compliance with data governance. This role requires residing in the San Diego area, with a hybrid working model. #J-18808-Ljbffr
    $92k-133k yearly est. 5d ago
  • Staff Data Scientist - Credit Risk Modeling (Remote)

    Tilt 4.2company rating

    Remote job

    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
    $102k-144k yearly est. 5d ago
  • Data Scientist

    Recooty

    Remote job

    About the Role: Aries is seeking a Data Scientist to join our data team. This remote role will leverage data analytics to enhance user experience and drive business decisions. What You'll Do: Build and maintain predictive models and data pipelines. Analyze data to extract actionable insights. Work with product teams to define data-driven strategies. Present findings and recommendations to stakeholders. Requirements: Experience in data analysis and modeling. Proficiency in Python, R, or SQL. Strong problem-solving skills and attention to detail. About Aries: Aries is a comprehensive financial markets platform that builds infrastructure for traders, developers, and investors. As one of the fastest-growing retail trading platforms globally, Aries provides fair, high-quality market access and developer infrastructure. Our client and developer community trust us to deliver secure, equitable trading opportunities. Who You Are: Quick-thinking and adaptable, with a proactive approach and a sense of urgency. Recognize what sets exceptional products apart from the rest. Confident in sharing your ideas but open-minded enough to embrace and advocate for better solutions. Deeply enthusiastic about coding, with a knack for identifying streamlined, effective solutions. Meticulous with details and honest in providing constructive feedback. Prioritize clear communication and task completion, ensuring alignment and understanding across the team. Motivated by being part of a fast-moving environment that champions growth and success. Benefits: Compensation: Competitive salary, ranging from $80,000 to $100,000 USD based on experience, with equity options. Health Coverage: Comprehensive health, vision, and dental coverage. Remote Flexibility: Fully remote work environment with opportunities for career growth and advancement. Perks: Paid Time Off: Unlimited PTO with a guaranteed minimum of two weeks. Daily Meal Credits: $20 for lunch and $25 for dinner through Uber Eats. Equipment: Access to the latest 14” or 16” MacBook Pro. Hybrid Model: Open to candidates from around the globe. #J-18808-Ljbffr
    $80k-100k yearly 1d ago
  • Global Head of Data Science - Remote AI for Drug Discovery

    Tubulis GmbH

    Remote job

    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
    $79k-111k yearly est. 2d ago
  • Data Scientist - NLP

    Analytica

    Remote job

    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
    $75k-106k yearly est. 3d ago

Learn more about statistician jobs

Work from home and remote statistician jobs

Nowadays, it seems that many people would prefer to work from home over going into the office every day. With remote work becoming a more viable option, especially for statisticians, we decided to look into what the best options are based on salary and industry. In addition, we scoured over millions of job listings to find all the best remote jobs for a statistician so that you can skip the commute and stay home with Fido.

We also looked into what type of skills might be useful for you to have in order to get that job offer. We found that statistician remote jobs require these skills:

  1. Data analysis
  2. Statistical methods
  3. Statistical techniques
  4. Statistical data
  5. Logistic regression

We didn't just stop at finding the best skills. We also found the best remote employers that you're going to want to apply to. The best remote employers for a statistician include:

  1. TransUnion
  2. American College of Radiology
  3. Treliant

Since you're already searching for a remote job, you might as well find jobs that pay well because you should never have to settle. We found the industries that will pay you the most as a statistician:

  1. Pharmaceutical
  2. Technology
  3. Professional

Top companies hiring statisticians for remote work

Most common employers for statistician

RankCompanyAverage salaryHourly rateJob openings
1American College of Radiology$96,232$46.270
2Pennsylvania State Treasurer$92,121$44.291
3Treliant$91,402$43.940
4TransUnion$85,548$41.137
5State of South Carolina$56,641$27.230

Browse computer and mathematical jobs