Biostatistician work from home jobs

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest's headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater (Greater New York City Area), New Jersey, USA, Shanghai (Pudong Zhangjiang New District), China and Taipei, Taiwan. Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients' needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success. Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that's us…that's Everest. To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Senior Biostatisticians for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy. Key Accountabilities: 1. Leadership and Project Management: Lead efforts in resolving day to day work related issues and problems, securing quality, improving efficiency and productivity of statistical and programming operations. Lead assigned projects by applying project management skills, statistical and programming techniques; achieve quality and on time delivery of deliverables, earn client's trust and repeat business. 2. Statistical Planning and Methodologies: Provide statistical expertise for design, analysis and reporting of clinical trials and research projects. Contribute to the writing of statistical sections of study protocols, perform sample size calculation, develop randomization specifications, and generate randomization codes. Write Statistical Analysis Plans (SAPs) and properly address Peer Statistician review comments. Create and maintain Statistical and Programming Quality Control (QC) and QA Plans for assigned projects. Provide input to unblinded data management plan when required. Assist in research and development of statistical methodologies and processes. 3. Statistical Programming: Develop and/or review ADaM dataset specifications. Review and provide input to SDTM dataset specifications when required. Perform QC validation of analysis datasets and TLGs. Perform third level review of dry runs and final run. Lead statistical dry runs and final run by actively participating or contributing to project and resources management, addressing statistical and programming questions and interacting with data management to follow up and resolve data issues. Review and provide input to the Analysis Data Reviewer's Guide, discuss and incorporate Data Standards Reviewer's review comments to ensure quality of the document. 4. Statistical Analysis and Reporting, and Publication Support: Perform statistical analysis as per SAP, and address peer/QC review comments and findings. Perform statistical validation of core results, address additional QC validation comments and findings on the core results. Plan and conduct or contribute to the trial results reporting/dissemination meetings. Under supervision contribute to the contents describing any deviation from the planned analysis and deviation from study conduct for the Clinical Study Report (CSR). Review CSR to ensure accuracy, completeness and appropriateness of the interpretation of the statistical results. Write statistical report or statistical sections of the CSR. Perform statistical analyses for publications, including but not limited to abstracts, manuscripts, presentations and posters. 5. Supporting Clinical Data Collection and Cleaning: Provide statistical input to Case Report Forms (CRF) design and database/variable structure. Provide statistical input to non-CRF data collection and acquisition methods and approaches. Review Data Management Plan sections relating to critical data collection and cleaning. Provide statistical input to Data Validation Specification. Specify and/or program database quality acceptance checks, assess and report data quality issues, and follow through until resolution. Perform ongoing assessment and communication of data quality issues, including protocol deviations. Assist data management and trial management team in preparing for database lock. 6. Complete job required and project-specific training. Comply with applicable Everest and trial sponsor's policies, SOPs, and work instructions. 7. Properly archive study files in accordance with trial sponsor's requirements. 8. Plan and carry out professional development activities. Qualifications and Experience: A Ph.D. degree in statistical science, mathematical analysis or related fields plus 2 years highly relevant experience or a Master's degree plus 4 years highly relevant experience, with demonstrated ability and sustained performance. To find out more about Everest Clinical Research and to review other opportunities, please visit our website at ***************** Estimated Salary Range: $130,000 - $160,000. We thank all interested applicants, however, only those selected for an interview will be contacted. Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process. #LI-Remote #LI-TK1 #INDHP

The Biostatistician will work with health system research teams to manage datasets, design studies, form analysis plans, and perform sample size/power calculations and stratification/randomization of studies, statistical programming, data management, analysis and report writing. Additionally, will provide consultation on the design of data processing systems, specifying the needed output, the required input and the methods of validation and quality control. Will recommend and carry out effective statistical methodology and strategies necessary for the creation, completion, and analysis of research projects and supervises the planning and designing of analytical procedures by others as requested. Will recommend the most appropriate analytical design for a broad range of data and analyze data using the most appropriate statistical procedures for the evaluation of outcomes studies. The biostatistician will support the preparation of peer-reviewed publications and will serve as primary and/or co-author on publications. Incumbent will also contribute as a statistical reviewer and editor for other manuscripts produced by the professional staff. The biostatistician will provide technical leadership, consultation, and advice on statistical analysis, methods and techniques for epidemiologic or research studies. Estimated salary range for this position is $93867.22 - $122027.39 / year depending on experience. Degrees: * Doctorate. Licenses & Certifications: * Collab Inst Training Init. Additional Qualifications: * PhD in Biostatistics/Epidemiology, Statistics, Health Economics, or another relevant field. * Expert technical abilities in statistical methodologies and knowledge of outcomes research and clinical methodologies, cost effective analysis, ability to analyze complex genetic data with cutting edge statistical methods, and generating risk scores based on large available variables. * Skilled in data manipulation and linkage of large datasets. * Knowledge of computer software systems appropriate for data analysis like SAS or STATA. * Manipulation of large datasets. * Experience in using hospital administrative databases or large claim databases and familiar with medical coding (DRG, ICD, HCPC, CPT, NDC) would be desirable. * Experience in publication (abstract, poster, manuscript) preparation process. * Ability to work on multiple projects with competing priorities. * Excellent interpersonal, communication, problem solving, and analytical skills. Minimum Required Experience: 5 Years

🔗Are you being referred to one of our roles by a connection in Alira Health? If so, please apply using the referral link emailed to you. Join our global team dedicated to innovation and initiative, where physical walls and different time zones don't limit, but encourage, collaboration. Where all contributions and new ideas are explored with an open mind and work is driven by our shared values: be courageous, be accountable, be honest, be inclusive and elevate others. Summary The Senior Biostatistician carries out tasks assigned within the timelines and the standards of quality, while providing supervision to biostatisticians, preparing Statistical Analysis Plans and writing the statistical methodology and results sections of reports. The Senior Biostatistician provides statistical input to the design and review of Protocols and Case Report Forms and prepares and performs trainings of other staff and clients on statistical methodology and statistical principles. Job Description THE SENIOR BIOSTATISTICIAN ROLE The Senior Biostatistician carries out tasks assigned within the timelines and the standards of quality, while providing supervision to biostatisticians, preparing Statistical Analysis Plans and writing the statistical methodology and results sections of reports. The Senior Biostatistician provides statistical input to the design and review of Protocols and Case Report Forms and prepares and performs trainings of other staff and clients on statistical methodology and statistical principles. ESSENTIAL JOB FUNCTIONS* Writes and reviews the statistical methodology and results sections of reports Review of Statistical analysis (tables, figures and listings) and specifications of clinical trials Performs sample size calculation Writes Blind Review plans and reports Writes and review statistical parts of scientific articles Prepares and reviews Statistical Analysis Plans Advises other staff and clients on statistical methodology and statistical principles. Participates and conducts Blind Review meeting. Supports the presentations to clients and manages the technical communications with client when assigned as lead statistician to a study Create SAS and/or R programs for Datasets and TLFs validation Prepares and performs training to internal/external staff on statistical methodology and statistical principles Provides statistical input to the design and review of Protocols and Case Report Forms Participates to DMC/DSMB meetings Provides support to DMC/DSMB charter preparation Reviews the specifications for analysis datasets Conducts other activities as required PREPARATION, KNOWLEDGE, SKILLS & ABILITIES Master's degree in Statistics At least 3 years of experience in Biostatistics SAS Programming, Good R Programming, Basic/Good Broad Range of Statistical methodology skills, Very Good ICH E9 Statistical Principles for Clinical Trials, Very Good English, Good MS Office Suite, Good Professional Trustworthy Ability to effectively prioritize Quality focused Personable Attitude Willingness to learn Team Player Effective Stress Management Techniques Learning Agility Ability to Manage Conflict Problem Solving Skills Effective Verbal Communication Skills Commercial and Technical Writing Skills Networking Skills Languages English Education Bachelor of Arts (BA): Statistics Contract Type Regular

Our client is a leading CRO with a fantastic reputation for delivering quality results. They are currently looking for Biostatisticians at all levels, and these positions can be remote. All the Biostatisticians here are hands-on; some have managerial responsibilities, and some are individual contributor roles. They do ask that Biostatisticians have strong programming skills, though there is a Programming team there as well for support. Also, a good grasp of CDISC, ADaM, and SDTM standards is important here. This CRO has a mix of both FSP and standard outsourcing models ranging from small to large pharma and biotech companies so there is much opportunity to contribute in various, diverse ways across phases and therapeutic areas. This is a fantastic opportunity to deepen and broaden your statistical experience in a well-established and stable company.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Senior Data Scientist May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking a talented data scientist who will be instrumental in translating autonomous vehicle data into clear, actionable insights by building scalable processes and applying sophisticated analytical techniques. Your work will range from developing KPIs to using advanced machine learning models to generating predictive insights and driving strategic decision-making. Responsibilities Design, implement, and monitor robust Key Performance Indicators (KPIs) and address performance anomalies. Develop dynamic, real-time monitoring solutions and interactive dashboards to track key metrics and automate data quality checks, significantly reducing manual reporting overhead. Apply advanced analytical techniques, including specialized Machine Learning and Natural Language Processing (NLP), to conduct deep-dive analyses and uncover the root causes of trend shifts. Translate complex model outputs and findings into clear, actionable narratives and presentations. Skills Success in this role typically requires the following competencies: Ability to manage the entire analytics lifecycle, from initial problem definition and data preparation to final actionable recommendations. Advanced proficiency in designing and implementing high-impact, real-time performance dashboards. Strong foundation in Machine Learning, including the ability to design, validate, and interpret predictive models aligned with specific business objectives. Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders. Detail-oriented with a focus on validation, testing, and error detection. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 5+ years of hands-on experience as a Data Scientist, Data Analyst, or a similar role with a heavy focus on business intelligence and performance measurement. Experience implementing and analyzing KPIs for large scale complex systems, including trend monitoring and anomaly detection using ML. Proficiency in Python and SQL. Expertise in machine learning libraries like Scikit-learn, TensorFlow/PyTorch. Expertise in PySpark/Apache Spark for handling large-scale data processing. Desired Background in robotics or autonomous systems. Demonstrated ability to generate insights and drive business decisions. Experience using LLMs for data analytics. Familiarity with big data technologies (Spark, Hadoop, Kafka) and cloud platforms (AWS, GCP, Azure) to engineer and deliver scalable, production-ready analytics solutions. Familiarity with data engineering principles, including building and maintaining robust data pipelines. Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range$150,000-$240,000 USD

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role Elastic Security focuses on AI driven Security Solutions across our SIEM and Endpoint products. The Security ML team researches, designs, and builds AI and ML solutions and drives innovation in this domain. We are looking for a Senior Security Engineer with Data Science experience to join our ML team and continue to innovate and build new models that will help secure our users against the latest emerging threats. You will collaborate with the broader Elastic Security team, which consists of a diverse group of skilled Researchers, ML Engineers, Data Scientists and Developers who possess extensive domain expertise in their respective areas. Our geographically dispersed team values positivity and inclusion in the workplace, collaborative learning and candid communication. If you are passionate about security research as well as data science and would enjoy the challenge of mixing your security expertise with your analytics driven from data science, we would love to have you join our growing team! What You Will Be Doing: Contribute to developing ML solutions for Endpoint Security. Perform data analysis on our sources to identify new solutions and improvements. Collaborate within the Security ML team and with members of other teams to build, ship, and maintain ML models. Promote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence. Determine how to improve models over time by leveraging implicit and explicit feedback. What You Bring: Experience building Security solutions (Endpoint, Network, UEBA, etc.). Experience with threat hunting and malware analysis. Proficiency in Python programming skills. Experience with writing and running tests (unit tests, integration tests, regression tests). Experience with performing data analysis as required to support data quality decisions. Ability to both give and receive helpful code reviews. Be comfortable working in a fully-remote environment. Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, time zones, and programming language preferences. Willingness to learn new things and ask for help. Bonus Points: Experience designing, training, and evaluating models using popular ML frameworks. Experience with AWS or GCP. Experience with Kubernetes. Experience with Buildkite or other CICD tooling Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100 - $210,600 USD The typical starting salary range for this role in the select locations listed above is: $159,900 - $252,900 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic (“DNR”), and the Luhansk People's Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

At Angi , we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: Homeowners have turned to Angi for more than 300 million projects 1,000+ home service tasks covered 2,800 employees worldwide Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

Job DescriptionABOUT OUR COMPANY:The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial. Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we've been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we've raised over $135 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, and more. But at our core, we're still that little company from Cleveland with a big dream: to make people more powerful than their debt and we're just getting started.. ABOUT OUR WORKPLACE: Splash is remote-first, and proud of it. We spend our days simplifying financial products and getting them into the hands of people who need them most. Right now, we're focused on building financial technologies that fundamentally transform how the industry lends. Although Splash has been around since 2013, we still operate like a startup - fast-paced, nimble, and full of heart. We're good people who care deeply about doing meaningful work and we approach challenges with creativity, passion, and urgency. And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected - even from afar. At Splash, everything we do is guided by our values: Own It - We take full accountability and follow through on commitments. Raise the Bar - We move fast, innovate faster, and push through barriers. Say the Hard Thing - We speak up with honesty, respect, and a desire to solve problems and make things better. Elevate Each Other - We win as a team by lifting each other up. These values show up in how we work and how we connect - whether we're collaborating on big projects or bonding over everyday moments. Yes, we even have Slack channels for #kids-and-pets and #food because we believe being human makes us better teammates. ABOUT THE ROLE: Splash Financial is seeking a Data Scientist with strong programming skills in Python and experience creating complex algorithm models. The ideal candidate is tenacious, proactive, and takes ownership of their deliverables. They constantly seek improvement, set high standards for data quality and analysis, and troubleshoot issues methodically using various data science tools. They write thoughtful designs and documentation, hold themselves and others accountable, and provide and receive feedback with compassionate candor. Collaboration and a constructive spirit are essential, as we value directness and candor but do not tolerate unconstructive negativity. We are solution builders, and our culture is critical to our success. Join our team that values growth, flexibility, and work/life balance! Mentor others and be mentored, ideate new projects, take ownership, and execute. WHAT YOU'LL DO AT SPLASH: Analyze and interpret complex datasets to generate clear, actionable insights that inform business and product decisions. Design, build, and deploy machine learning models that enhance underwriting, risk management, customer experience, and other core fintech functions. Write clean, efficient Python code for data analysis and model development. Collaborate with cross-functional teams to understand their data needs. Provide constructive feedback on data analyses and model implementations. Work within an OKR-driven organization with a clear mission. Participate actively in our highly collaborative, fully remote culture. WHAT YOU'LL BRING TO SPLASH: At least 3-5+ years in data science, machine learning, or a closely related field, ideally in a fast-paced environment. Advanced degree (MS or PhD) in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, Engineering). PhD-level research or industry experience, especially with a hypothesis-driven problem-solving approach, is highly valued. Proficiency in Python for data analysis, modeling, and production-level code. Experience with classical machine learning and a solid understanding of statistical modeling, feature engineering, and model evaluation techniques. High candor, providing and accepting constructive feedback graciously. Understanding that there can be multiple correct solutions, with a willingness to disagree and commit. Experience in unsecured lending and installment loan industries is a big plus. COMPENSATION: The base salary range for this role is $150,000 to $200,000 annually, based on market data and internal compensation practices. This role may also be eligible for a bonus component tied to individual and company performance. Final compensation will be determined by factors such as location, experience, and skill level. SPLASHERS ENJOY: Fully remote work freedom Competitive salary packages Flexible PTO + 9 company holidays Equity: Share in our start-up success Comprehensive and affordable insurance benefits Paid parental leave for both caregivers Essential equipment to get the job done 401(k) for your future savings Quarterly meet-ups: In person & virtual fun Awesome Splash swag to flaunt your team spirit Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.

***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.*** Are you a Senior Data Scientist who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is “We make It happen”. We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about…if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Senior Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance U.S. Citizenship. 10+ years of experience and a Bachelor's Degree in Computer Science or a related discipline. Possess software development skills Work well independently as well as on a team. Strong communication skills. Key Skills: Building and maintaining custom data analytics to automate and scale signals analysis Experience with adversary defeat, mission management, metrics, and data visualization Experience compiling various data sources via computer scripting, statistical analysis, data modeling, etc. Need someone who understands very large networks, telcos, and can use DS skills to make sense of large data sets Location: Aurora, Colorado Salary Range: The salary range for this full-time position is $115,000 to $190,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: Medical, Dental, and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: ************************************************** To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR 7NnB2Ngpje

Teaching kids to think critically and communicate effectively has never been more important, and NoRedInk helps students become better writers in more than 60% of U.S. school districts. We're looking for a Full Stack Data Scientist to work with a team of data professionals in solving customer, product, and business problems through data science and advanced analytics, large language models and other machine learning models, as well as data architecture and infrastructure improvements. In this role, you will: Drive objectives in collaboration with members of the data team and colleagues across the company Partner across Product and Engineering to advance our data science and AI/ML capabilities; leverage LLMs and Generative AI to enhance product features and business operations; assist teams with model selection, implementation, and optimization Utilize strong project management skills for efficient and effective delivery of data-related projects for cross-functional stakeholders, owning the end-to-end lifecycle of ML models Effectively leverage our data warehouse and tools like Snowflake, Sigma, Mixpanel, and Google Analytics Conduct rigorous testing and analysis to validate model performance, monitor model drift and performance in production, and implement retraining strategies as appropriate Contribute to data team efforts aiming to develop actionable business intelligence Advise product and engineering leadership, continually improving the product and the organization as a whole while simultaneously learning and growing as an individual contributor Mentor team members and contribute to the team's technical roadmap About You: 8+ years experience in a data science or analytics role Degree or equivalent experience in statistics, analytics, mathematics, computer science, or a related quantitative field Experience leveraging LLMs to both improve the software development process and deliver features in production Experience building and training predictive models using leading machine learning frameworks A strong focus on end-to-end delivery, leveraging full-stack capabilities including data engineering and ETL tooling, model deployment, MLOps, observability, etc. Proficient with the use of BI and data analysis tools, data warehousing, data visualization, data architecture, data-driven storytelling and other higher level data concepts Strong collaboration, communication, and presentation skills with the ability to move fluently between metrics and business outcomes, reinforcing and ultimately championing those connections for others Fluency with SQL and Python Familiarity with agile methodologies and project management tools An interest in and an awareness of data privacy and compliance considerations Open to working with a team spanning US-Pacific to US-East time What NoRedInk Offers: A competitive salary and equity package in a well-funded startup with strong product-market fit Excellent health, vision, and dental benefits (U.S. Only) 100% remote work environment Flexible PTO and paid parental leave 401(k) (U.S. Only) Team retreats and events to connect with fun, talented coworkers The ability to help millions of students and teachers and address a critical societal need About NoRedInk: NoRedInk helps students in over 60% of US school districts become better writers. Our deeply engaging, adaptive curriculum personalizes exercises to kids' interests, guides them through the writing process with instructional support, and boosts their skills through targeted practice. Students have completed over 10 billion exercises on our site, and our mission is to help all students harness the power of the written word. Check out our press page, including our 2-minute pitch on NBC and articles in The Washington Post, Wall Street Journal, and Forbes. NoRedInk believes that diversity and inclusion among our teammates is critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. At NoRedInk, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. Compensation at NoRedInk is robust and includes a full range of benefits, unlimited PTO, monthly co-working stipends, an initial home-office set-up stipend, and generous equity. Our salary ranges are based on factors such as expectations as laid out in the job description, location-specific market data, internal parity, and the experience and skills of individual candidates. Therefore, the compensation range is $170,000 - $200,000 and accounts for a variety of locations and skills/experience. Please know that if you are invited to speak with a recruiter at NoRedInk, they will have an open discussion about compensation during your first call to ensure alignment. *Note: Agencies or other third-party recruiters may not submit unsolicited candidate resumes or their information to any NoRedInk employee, including a NoRedInk Recruiter, unless a contract is signed and you are given permission by the Talent Acquisition team to work on a job opening.

To help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk. About Us 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 Our TeamFrom data scientists and actuaries to engineers, designers and marketers, we're a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world. We've come together to create the context-based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology-it's hiring the talented people who will help us continue to make a quantifiable impact.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. Your day-to-day Drive Full-Cycle Solutions: You will spearhead high-impact modeling projects from the initial ambiguous question to the final deployed solution. This includes framing the business problem, designing rigorous experiments, and selecting evaluation criteria that directly connect to business value. Engineer the MLOps Backbone: Build and own the automated systems that keep our models sharp. You'll design and implement robust pipelines for model retraining, monitoring, and alerting, creating repeatable CI/CD processes that ensure service stability and performance. Elevate the Team: Act as a force multiplier for the team's talent. You'll actively mentor junior data scientists, lead knowledge-sharing sessions (like tech talks and paper reviews), and champion best practices that raise the bar for everyone. Influence Business Strategy: Be the voice of data for your partners. You will translate complex technical concepts into clear, compelling insights for non-technical audiences, making recommendations that directly influence your functional team's priorities and decisions. About you Relevant degree OR equivalent relevant experience and; Experience: 10-12 years of work experience in data science. Technical Mastery: Production-grade proficiency in Python and SQL and mastery of multiple data science libraries. You don't just write code; you write clean, scalable, and well-tested code, and are comfortable contributing to shared libraries. Scientific Rigor: A proven track record of designing robust experimental frameworks and validation strategies. You know how to methodically test hypotheses and build models you can stand behind. Business Acumen: The ability to see the business problem behind the data. You excel at turning vague challenges into well-defined data science projects with clear success metrics. A Mentorship Mindset: You're a natural teacher and collaborator who enjoys elevating others. You are a trusted partner who is sought out for your ability to solve problems and explain complex ideas with clarity. Bonus points Advanced Credentials: PhD in a quantitative discipline or an actuarial designation (or progress toward one). Open-Source Contributions: Demonstrated track record of contributing to open-source projects or maintaining widely used analytical libraries. Salary: $250,000 to $400,000* *Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization. Additional Details: Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match. Work from Home Equipment: Given our virtual environment- in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day. Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent. Personal and Professional Development: We're committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp. Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required . Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired. Hours: We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones. Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you are a San Francisco resident, please read the City and County of San Francisco's Fair Chance Ordinance notice. ********************************************************************************************** This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies. If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance.

Role Description We're looking for a Senior Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 6+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$168,300-$227,700 USDUS Zone 3$149,600-$202,400 USD

Skilled P&C Data Scientist sought for a highly visible, key technical role leading complete development and deployment of personal lines pricing and underwriting models that drive data-informed decision-making. Role requires close collaboration with Actuarial and cross-functional teams, as well as clear communication of insights to leadership and business partners. Must have 5-7+ years' modeling and data science experience with strong Personal Lines insurance background, robust technical expertise, and hands-on experience with large datasets and developing pricing GLMs. Exceptional communication skills and presentation skills essential.

The Senior Data Scientist - Model Governance & DoD Data Fabrics leads the full lifecycle of advanced analytics and machine learning models in support of a Department of Defense (DoD) customer. In this role, you will own model development, deployment, monitoring, and governance across DoD data fabrics, with a strong emphasis on causal inference, Bayesian methods, model risk management, model cards, and ethical AI practices. You will ensure all models and analytics products align with the contract's Acceptable Quality Levels (AQLs) and Quality Assurance Surveillance Plan (QASP), providing decision-quality insights to senior government stakeholders while maintaining rigorous technical and compliance standards. *This position is contingent upon contract award* Job Duties and Responsibilities: Lead the end-to-end lifecycle of machine learning and statistical models, from problem framing and data acquisition through deployment, monitoring, and retirement. Design and implement models using causal inference and Bayesian methods to support high-impact operational and strategic decisions. Develop and maintain model risk management practices, including validation, back-testing, performance thresholds, and issue remediation. Create and maintain model cards and other documentation that clearly describe model purpose, assumptions, limitations, performance, and governance controls. Embed ethical AI principles into model design and usage, including fairness, transparency, explainability, and human-in-the-loop oversight. Architect and scale analytical solutions on DoD data fabrics and cloud environments, collaborating with cloud architects and engineering teams. Define and track model and analytics performance against AQLs and QASP metrics; proactively recommend improvements to meet or exceed targets. Partner with security, infrastructure, and operations teams to ensure models comply with cybersecurity, data protection, and configuration management policies. Provide technical leadership and mentorship to junior data scientists and analysts, reviewing work products and promoting best practices. Prepare and deliver briefings, dashboards, and written reports that distill complex analytics into clear, actionable insights for senior leaders. Support proposal and capture efforts by contributing data science subject matter expertise and solution concepts as needed. Perform other duties as assigned to support mission and contract requirements. Job Requirements (Education/Skills/Experience): Clearance: Active Secret clearance; must be able to obtain and maintain a Top Secret clearance if required by the customer. (U.S. citizenship required due to government contract requirements.) Experience: 9-12 years of progressive experience in data science, machine learning, statistics, or a closely related field, including support to DoD or other U.S. government customers. Education: Master's degree (MS) in Data Science, Computer Science, Statistics, Electrical Engineering, or a closely related discipline (required). PhD in one of these fields (preferred). Demonstrated hands-on expertise with causal inference and Bayesian methods applied to real-world decision problems. Proven experience implementing and maintaining model risk management frameworks in production environments. Experience generating model cards and other structured documentation for models, including performance metrics and limitations. Strong background in ethical AI concepts and techniques, including bias detection/mitigation and responsible AI governance. Hands-on experience deploying and scaling models on cloud platforms and/or DoD data fabrics (e.g., enterprise data platforms, secure enclaves). Proficiency in at least one major programming language used for data science (e.g., Python, R) and modern ML tooling (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent). Strong communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Travel: Occasional travel may be required to support stakeholder engagements, technical reviews, and on-site integration or testing activities. Preferred Qualifications Relevant cloud architect or ML specialty certification (e.g., AWS, Azure, or other major cloud provider). CompTIA Security+ certification. ITIL Foundation certification (preferred). Experience working with QASP-driven contracts and defining/monitoring AQLs for analytics or IT services. Familiarity with DoD cybersecurity frameworks, RMF, and secure DevSecOps practices. Prior experience supporting Air Force, joint, or combatant command-level analytics, or similar high-visibility federal programs. Diné Development Corporation (DDC) is a Navajo Nation owned family of companies that delivers IT, professional, and environmental solutions to advance the missions of federal, state, and tribal government agencies. As thought leaders and innovators, our team of specialists build client-centric solutions that solve critical challenges faced by defense, civilian, and healthcare organizations. Employing a mission-focused approach, we deliver value that not only enhances current operations, but also drives future change. Closely aligned with this approach is our commitment to advancing the Navajo Nation and its People. Through economic development and community empowerment, we elevate the Navajo Nation to provide lasting impact and sustainable growth for future generations. DDC's ability to unite legacy-inspired technologies, industry best practices, and proven methodologies has contributed to our success for twenty years. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.

Senior Data Scientist - (Remote) Salary Range: $140,000 - $160,000 per year Employment Type: Full-Time About Us: We are an innovative software studio collaborating with internationally recognized brands to deliver cutting-edge data solutions. Our mission is to harness advanced analytics to drive impactful business strategies. We pride ourselves on our award-winning culture, emphasizing employee satisfaction, inclusivity, and professional development. Position Overview: We are seeking a Senior Data Scientist with expertise in Marketing Mix Modeling (MMM) to develop sophisticated econometric models that assess the impact of public relations (PR) messaging on financial outcomes. This fully remote role offers the flexibility to work from anywhere, providing an excellent opportunity for a skilled data scientist passionate about leveraging analytics to influence real-world business decisions. Key Responsibilities: Model Development & Implementation: Design and implement advanced econometric models to quantify the effects of PR campaigns on financial metrics. Integrate diverse datasets, including social media metrics, news articles, campaign messaging, and financial indicators, to enhance model accuracy. Collaborate with internal analytics teams to ensure robust data handling and model calibration. Data Analysis & Validation: Utilize historical PR and financial data to validate and refine predictive models. Conduct exploratory data analysis to uncover insights and improve model performance. Maintain rigorous methodological standards to ensure reproducibility and accuracy. Collaboration & Stakeholder Communication: Work cross-functionally with analytics, account management, and client-facing teams to gather requirements and implement solutions. Translate complex analytical insights into clear, actionable recommendations for both technical and non-technical stakeholders. Documentation & Training: Develop comprehensive technical documentation outlining methodologies, data sources, assumptions, and limitations. Create user-friendly guides to support the ongoing use and maintenance of models. Lead training sessions to facilitate knowledge transfer within internal teams. Continuous Improvement: Stay abreast of advancements in econometric modeling, machine learning, and marketing mix modeling techniques. Explore and implement process improvements, new data sources, and advanced modeling strategies to enhance scalability and predictive accuracy. Qualifications: Education & Experience: Master's or Ph.D. in Economics, Statistics, Data Science, or a related quantitative field (or equivalent professional experience). 3+ years of hands-on experience in econometrics, marketing mix modeling, or quantitative modeling. Technical Skills: Proficiency in Python (preferred) or R for data manipulation, statistical analysis, and model development. Experience with Bayesian modeling and relevant packages (e.g., PyMC, STAN, Pyro). Strong background in marketing analytics and marketing mix modeling (MMM); familiarity with tools such as Lightweight MMM, Meridian, or Robyn is a plus. Expertise in statistical modeling, regression techniques, time-series analysis, and causal inference. Experience with data visualization tools (e.g., matplotlib, seaborn). Soft Skills & Additional Qualifications: Exceptional communication skills-able to translate complex data insights into business impact. Proven ability to work in cross-functional environments and manage multiple projects effectively. Strong attention to detail, organizational skills, and commitment to delivering high-quality work. Experience in (or willingness to learn about) public relations, corporate communications, and financial metrics in a business context. Benefits: Fully Remote: Work from anywhere with flexible hours that fit your lifestyle. Award-Winning Culture: Be part of a company recognized for exceptional employee satisfaction, inclusivity, and professional development. Competitive Compensation: Generous salary, performance bonuses, and comprehensive benefits package. Professional Growth: Access to mentorship programs, certifications, and opportunities to advance your career. Cutting-Edge Tech: Work with state-of-the-art tools and technologies on impactful, high-visibility projects. Application Process: Interested candidates are invited to apply by submitting their resume and a cover letter detailing their relevant experience and interest in the position. Please include any pertinent project portfolios or case studies that showcase your expertise in data science and econometric modeling.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Scientist in the United States. As a Sr. Data Scientist, you will leverage advanced analytics, machine learning, and large-scale data modeling to drive strategic business decisions. You will work closely with cross-functional teams, translating complex data into actionable insights that influence growth and operational efficiency. This role combines hands-on model development with strategic analysis, requiring expertise in predictive modeling, LLM deployment, and visualization. You will be responsible for ensuring data quality, monitoring model performance, and communicating findings clearly to technical and non-technical stakeholders. The environment is dynamic, collaborative, and fast-paced, ideal for candidates passionate about applying data science to solve impactful business problems. Accountabilities: In this role, your key responsibilities will include: Develop, enhance, and productionize machine learning models, including LLM-powered solutions such as summarization, information extraction, and classification. Conduct deep-dive analyses to identify variance drivers and support business decisions. Design, create, and maintain dashboards and visualizations to communicate insights effectively. Perform exploratory data analysis and ensure high-quality, clean, and structured datasets. Monitor model performance, detect drift, and implement rigorous testing to ensure reliability. Collaborate with product, engineering, and business teams to translate requirements into data-driven solutions. Communicate complex data findings to non-technical stakeholders, providing actionable recommendations. Requirements The ideal candidate should bring: 6+ years of experience in data science or analytics roles, with at least 3+ years focused on machine learning and modeling. Strong programming proficiency in Python and PySpark for modeling, data analysis, and machine learning. Advanced SQL skills and experience handling large, semi-structured datasets. Familiarity with ML frameworks and libraries, including pandas, NumPy, seaborn, matplotlib, MLFlow, scikit-learn, TensorFlow, and PyTorch. Hands-on experience fine-tuning, prompt engineering, and deploying LLMs in production. Expertise in predictive modeling, statistical analysis, and experimental design (A/B testing, regression, hypothesis testing). Strong communication, collaboration, and problem-solving skills, with the ability to translate technical results into actionable insights. Preferred Skills: Experience with visualization tools such as Tableau or PowerBI. Familiarity with data lakes, Databricks, and version control systems like Git. Availability to work in Eastern or Central U.S. time zones. Benefits This role offers a comprehensive and competitive package, including: Base salary range: $115,000 - $125,000 Annual bonus: 10% of earnings Health, dental, and vision insurance 401(k) plan with company match Paid time off and flexible work arrangements Opportunity to work with large-scale, cutting-edge analytics projects Exposure to advanced machine learning and LLM technologies Collaborative and dynamic work environment Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements. 📊 It compares your profile to the job's core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

We are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers. The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration-of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners. Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you'll help your clients, colleagues, and communities thrive. Resultant was founded as KSM Consulting in 2008. Job Description At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help. Data analytics is a core component of how we do this. We are looking for a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today's fast-paced environment. As a Senior DS/MLE, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems. Here is what a typical day for you might look like: Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives Design, develop and deploy efficient data pipeline for both structured and unstructured data Productionize machine learning research in both on premises and cloud environments Rapid prototyping solutions and integrating of new data sources Drive optimization, testing and tooling to improve quality of solutions Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before Collaborate with data architects and software developers to plan and construct the architecture of model deployment Develop and support APIs to serve models and other data solutions Continuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscape Qualifications *This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience.* Education and Experience: Required Bachelor's degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required 5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus) 3+ years experience with Databricks and/or Apache Spark 3+ years experience with advanced analytics and modern machine learning techniques 3+ years experience with APIs, containerization (Docker), and orchestration (Airflow) 3+ experience with relational databases and SQL (Postgres, Redshift, SQL Server) 3+ experience with Cloud platforms (Azure, AWS, GCP) and services Proficient with version control Proficient in software architecture and design patterns Proficient on Linux for both development and operations Preferred Experience with deploying applications on Kubernetes Experience with Palantir Foundry Experience with Python API development frameworks (FastAPI, Django, Flask) Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j Consulting, Communication and Leadership Skills: Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders Strong ability to translate complex technical concepts for non-technical audiences Demonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teams Solution creativity and effective written, verbal, and presentation skills Proven success working across diverse industries and project sizes with a collaborative, outcomes focused mindset Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems Additional Information What you should know about Resultant: Rezzers are humble, hungry, and smart. We solve big problems, serve lots of clients, and are entirely committed to delivering transformative outcomes. Rezzers are team players, deeply dedicated to the mission of the organization and to helping everyone around us be successful. Resultant compensates well, rewarding performance that delivers positive outcomes for our clients and ensuring incentives are aligned to achieve our goals. Resultant leaders work hard, serving as a shining example of what it means to be a great Rezzer. They are servant leaders, helping their team to be successful in all possible ways. We have a great benefits package including unlimited vacation, significant 401k contributions, and several opportunities to develop yourself. We pride ourselves in having the best talent in the industry and hope that you're up for the challenge! What our team members say about us… “I love our true empathy and concern for our clients, it's very rare and appreciated. It is a pleasure to be a part of an organization like Resultant.” “I learn something new every single day, and I feel like I'm a part of building an organization that has legs. I appreciate that I'm consistently humbled by the talent and caliber of our team.” “The culture of the company is amazing, and the climate of my team is great. The benefits that employees are offered are better than competitors, and the one-on-one presence that my team lead gives is extremely beneficial to me.” All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status. Equal Opportunity Employer

Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements Develop data models top optimize and improve work of e-commerce functions Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements: Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science). Must have data modeling, predictive analytics and/or machine learning experience 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI This is not a developer position, but you must possess strong SQL coding skills Experience in data mining and understanding of machine-learning and operations research is an advantage Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have: Experience in data mining and understanding of machine-learning and operations research is an advantage Proficiency in Excel, PowerPoint, MS Access is a plus Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset Knowledge of Python will be a plus Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at ******************* . ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Senior Data Scientist Hours: Monday - Friday, 8:00 am to 5:00 pm, 40 Hours/Week Responsibilities Support the GenAI Center of Excellence team, which drives innovation by building new generative AI applications and enhancing RealPage's existing systems with GenAI capabilities. Contribute to RealPage's AI go-to-market strategy, by creating cutting-edge solutions that empower our users and clients. Lead the development, deployment, and scaling of advanced AI models that address real-world challenges in the PropTech space. Fine-tune pre-trained foundation models, apply prompt-engineering and RAG techniques, utilize agentic frameworks, and work closely with product and engineering teams to create impactful AI solutions that support business objectives and transform user experiences. Evaluate and utilize appropriate generative models, such as GPT-4, LLaMA, Gemini, or Claude, to develop Gen AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics, and copilots. Assess and utilize AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and agentic frameworks based on project needs. Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Construct data preprocessing and cleansing pipelines, ensuring high-quality, scalable data suitable for training and testing AI models. Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Translate complex ML and Gen AI concepts into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts to create integrated GenAI solutions. Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvements. Qualifications The position requires a Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field and five (5) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation. Alternately, will accept a Master's degree in Computer Science, Machine Learning, Data Science, or a related field and three (3) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation. The position requires knowledge and experience with the following skills: Python and SQL Writing production-grade code Cloud platforms for AI, such as AWS SageMaker, GCP, AI, or Azure ML Containerization, such as Docker Orchestration, such as Kubernetes; CI/CD practices MLOps frameworks Experience leading projects and mentoring team members in Agile environments, driving collaboration, and fostering team effectiveness Machine Learning, Deep Learning, Natural Language Processing Transformers, Recurrent Neural Network (RNN) models, and Long Short-Term Memory (LSTM) models LangChain, LLMs, Vector Embeddings, and RAG applications Prompt Engineering Remote work permitted. Salary and Benefits: RealPage provides a competitive salary package along with a comprehensive benefit plan that includes: Health, dental, and vision insurance. Retirement savings plan with company match. Paid time off and holidays. Professional development opportunities. Performance-based bonus based on position. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees. #LI-DNI Pay Range USD $190,578.00 - USD $242,000.00 /Yr.