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Job DescriptionGopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.You Will: • Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment., • Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex., • Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization., • Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery., • Develop conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language., • Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times., • Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact., • Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly., • Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI., • Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.You Have:, • MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science)., • Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures., • Proficiency in prompt engineering, RLHF and model optimization., • Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS)., • Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.)., • Experience working with large datasets and SQL; ability to write scalable, production-quality code., • Excellent communication and collaboration skills to partner across technical and business teams., • A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.Compensation:, • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role., • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan., • Base Salary Range: $175,000 - $270,000What We Offer:, • Medical/Dental/Vision Insurance, • 401(k) Retirement Savings Plan, • HSA or FSA eligibility, • Long and Short-Term Disability Insurance, • Mental Health Benefits, • Fitness Reimbursement Program, • 25% employee discount & FAM Membership, • Flexible PTO, • Group Life Insurance #LI-GOPUFF Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description The work we do at Eurofins matters, and so do our employees. At Eurofins, we put a focus on your professional growth. We provide our employees the ability to break into the biopharmaceutical industry and grow from the bottom up. We have the supportive teams and tools available to invest in you while also affording you work-life balance and a competitive benefits package. Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins believes it is a global leader in food, environmental, pharmaceutical and cosmetics products testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies. If you’re looking for a rewarding career, a place to call home, apply with us today! Job Description Advance your scientific career in Indianapolis, a growing hub for biotech and pharmaceutical innovation. We’re seeking a Senior Bioassay Scientist to lead effector function testing and cell-based assay development in a GMP-regulated lab environment. This is a full-time, leadership role with relocation assistance provided to help you transition smoothly. Why Relocate to Indianapolis? • Affordable cost of living, • Vibrant life sciences and biotech community, • Lead effector function testing for biologics and support preclinical development, • Design and execute cell-based assays, including ELISAs, luciferase reporter assays, and flow cytometry, • Troubleshoot technical issues and ensure data integrity and timely documentation, • Maintain lab compliance, drive operational improvements, and support quality initiatives, • Supervise and mentor team members, manage workflow, and conduct performance reviewsQualifications, • Bachelor’s degree in biology, chemistry, or related field, • Extensive experience in mammalian cell culture and cell-based assay development, • Proficiency in ELISA, luciferase reporter assays, and flow cytometry, • Strong leadership, organizational, and communication skills, • Authorization to work in the U.S. indefinitely without sponsorship, • Willingness to relocate to Indianapolis – relocation support is available Additional Information • Position is full-time, 8:00 am- 5:00 pm Overtime as needed., • Excellent full-time benefits including comprehensive medical coverage, dental, and vision options, • Life and disability insurance, • 401(k) with company match, • Paid vacation and holidays, • #LI-EB1 Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.

Job DescriptionAbout Us: We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability. The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home. As a certified B Corp, Perpay is committed to building a mission-driven culture that balances purpose and performance - Learn more. Some things we're excited about: • $500 million in spending power used by our members, • Increasing members' credit by 32 points (on average) within the first 3 months, • Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior., • Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus., • Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. About the Role: As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay's mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you're looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay. Our greatest strength is our people and we'd love for you to be one of them! Responsibilities: • Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer's financial lives and the health of the business, • Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay's business model, • Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources, • Deploy and maintain real-time model inference resources and infrastructure, • Deploy and maintain machine learning pipelines including batch processing and continuous training architecture, • Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay, • Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers, • Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team, • Act as an informal mentor peersWhat You'll Bring:, • 5+ years of experience* and expertise applying machine learning techniques in industry, • 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry, • 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs), • 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation, • Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics), • Excellent communication skills, across a range of audiences from technical to non-technical, • Strong business acumen, demonstrated through subject matter expertise in at least one industry, • Capable of managing projects "end to end" including managing project scope, timelines and workloads, • Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.), • Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc., • Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc., • Experience with scalable compute frameworks such as Spark or Polars, • Experience with deployment frameworks such as KubernetesWhat We'll Bring:, • Competitive salary + company equity, • 401k with company match, • Medical / Dental / Vision insurance, • Flexible Spending Account (FSA), • Team member discounts, • Relocation assistance, • Pre-tax commuter benefit, • Student loan repayment match, • Gym subsidy with City Fitness, • Cell phone plan, • Paid parental leave, • Unlimited PTO Additional Perks: • Opportunity to gain experience at one of the fastest-growing financial startups in the country, • Work on both e-commerce & fintech customer-facing products, • Collaborate cross-functionally with product, design, marketing, operations, data teams, and more This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1) Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at to request accommodation.

Senior Data Scientist in Blue Bell, PA to develop resolutions to complex problems.

A good understanding of databases and approaches to extracting data. The focus is on applying a combination of industry-standard practices and innovative ideas, utilizing structured and unstructured data from multiple sources, and employing AI, machine learning, and statistical techniques to build,

Job DescriptionSalary: $105,000 - $115,000 Join Our Team at Duncan Solutions, LLC Duncan Solutions, LLC, is a full-service transportation management company that focuses on connecting people, technology, and data to make cities more livable and efficient. As a leading provider of parking and tolling management solutions, we support municipal and commercial clients with citation processing, debt collection, DMV registered owner identification, back-office transaction processing, image review, customer service center and customer experience (CX) operations, integrated on-street parking management, and more. WORK LOCATION This is aremote position with eligibility in the following states: AZ, CA, CO, CT, DE, FL, GA, IL, IN, IA, KS, LA, MD, MA, MI, MO, MN, NJ, NY, NC, OH, PA, SC, TN, TX, VA, WA, WI, WV, VT, D.C., Candidates must reside in one of the following locations for consideration. Please note: Duncan Solutions, LLC, does not provide visa sponsorship now or in the future. Candidates must be legally authorized to work in the United States without current or future sponsorship requirements. PAY TRANSPARANCY This role will offer $105,000 - $115,000 annually,depending on experience, skills, and location. Employees may also be eligible for performance-based incentives and additional benefits as part of our total rewards package. POSITION SUMMARY The Director of Data Science will be responsible for building and scaling Duncans analytics, machine learning, and AI capabilities to deliver actionable insights and measurable impact for clients, operations, and financial performance. This hands-on leader will harness Duncans growing data assets to drive client outcomes (e.g., compliance, revenue optimization, customer experience) as well as internal efficiencies (e.g., collections effectiveness, workforce productivity, margin expansion). The ideal candidate combines technical expertise in AWS-native AI/ML environments with strong business acumen, translating models and insights into operational and financial results. This role is both strategic and executionalbuilding the foundation of Duncans data science capability while also delivering high-impact projects. What You'll Do • Design, build, and scale predictive and prescriptive models leveraging AWS-native tools (e.g., SageMaker, QuickSight, Redshift, DataBricks on AWS)., • Deliver insights that directly improve client outcomes (e.g., revenue recovery rates, compliance performance) and internal KPIs (e.g., cost-to-collect, workforce allocation, client profitability)., • Partner with Finance, Operations, Sales, and Technology teams to translate business challenges into data science initiatives with measurable ROI., • Lead advanced analytics initiatives including churn prediction, collections optimization, fraud detection, and customer segmentation., • Build data pipelines and experimentation frameworks to enable continuous learning and iteration., • Evaluate and implement automation opportunities (e.g., natural language processing for correspondence, anomaly detection for payments, intelligent agent workflows)., • Collaborate with FP&A, BI, and ERP teams to ensure alignment of reporting, forecasting, and operational dashboards., • Champion a data-driven culture, helping business leaders understand and adopt AI/ML-driven decision making., • Establish best practices in model governance, monitoring, and bias mitigation. What You'll Need to Succeed Required • 5+ years of progressive experience in data science, analytics, or machine learning roles, ideally within a tech-enabled, services., • Demonstrated success deploying machine learning models in production on AWS (SageMaker, Redshift, QuickSight, DataBricks, Lambda, etc.)., • Proven ability to translate complex technical work into tangible operational/financial impact., • Strong programming skills (Python, R, SQL) and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn)., • Experience with data visualization and dashboarding for executive and client audiences., • Excellent communication and storytelling skills with the ability to influence decision-making at the executive level., • Collaborative, entrepreneurial, and hands-on leader with the ability to both execute independently and build a scalable team., • Track record of implementing data science solutions that materially improved business performance. Preferred • Bachelors or Masters degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field. PhD in quantitative field is a plus., • 812 years of progressive experience in data science, analytics, or machine learning roles, ideally within a tech-enabled, services, or PE-backed company., • Track record of driving digital transformation and building new capabilities from the ground up., • PE-backed company including 3+ years in a leadership role. Physical Demands and Working Conditions • Primarily a sedentary position requiring prolonged periods of sitting or standing at a workstation. Frequent use of a computer and keyboard; repetitive wrist/hand movements and fine motor skills for typing and mouse use. SUPERVISORY RESPONSIBILITIES • Directly manages data science staff and may oversee data analysts and contractors., • Responsible for recruitment, development, coaching, and performance management of the data science team. WHAT WE OFFER Duncan Solutions, LLC,offers a professional environment, stability, upward mobility, and a wide breadth of benefits. We offer our full-time regular employees who meet eligibility criteria the following which include: Medical, Dental, & Vision Insurance • Medical, Dental, & Vision Insurance, • Healthcare & Dependent Flexible Spending Accounts (FSA), • Health Savings Account (HSA) with Employer Contribution, • Company Paid Life and AD&D Insurance, • Company Paid Short- & Long-Term Disability, • Employee Assistance Program (EAP), • Business Travel Accident Insurance, • Corporate Travel Discounts, • Bonus & Incentive Compensation Programs, • 401(k) with Employer Match (Traditional/Roth/Safe Harbor), • Corporate Travel Discounts, • Bonus & Incentive Compensation Programs, • 401(k) with Employer Match (Traditional/Roth/Safe Harbor) Paid Time Off • 9 Company Holidays, • PTO Accrual, • Sick Time Accrual, • Parental Leave, • Jury Duty, • Bereavement Other Voluntary Benefits • Life and AD&D Insurance for Employees/Spouse/Child(ren), • Critical Illness, • Accident Insurance, • Identity Theft Insurance, • Pre-paid Legal Insurance Duncan Solutions, LLC is proud to be an Equal Opportunity Employer. We actively encourage applications from everybody. All qualified job applicants will receive consideration without regard to race, color, religion, creed, national origin, aboriginality, genetic information, ancestry, marital status, sex, sexual orientation, gender identity or expression, physical or mental disability, pregnancy, veteran status, age, political affiliation or any other non-merit characteristic. Please visit our website to learn more about us To view all of our current job opportunities, please visit

Job Description Who We Are: At Veranova, we believe people are our most important asset, and we are dedicated to building the most talented workforce in our industry. Our commitment to uncompromising focus on quality, compliance, safety, and excellence in delivery shapes everything we do. We are not just looking for skills; we are seeking innovative individuals who have a mindset open to learning and growth, and a desire to make a difference. Veranova is a global leader in the development and manufacturing of complex active pharmaceutical ingredients (APIs) for pharma and biotech customers. With deep technical expertise and impressive flexibility, we develop solutions and processes that support and accelerate innovation. Join us on our mission to enable current and next-generation therapeutics to improve and save the lives of patients. Role Overview: The Sr. Scientist is responsible for the implementation, development, and validation of analytical test methods in support of process research, and cGMP production with emphasis on development of LC, GC, GC-MS and LC/MS, ELISA, SEC-MALS, CE-SDS, cIEF, etc) methods for small molecules, ADCs, Oligonucleotides and Peptides Major support functions include sample analysis by various analytical techniques including HPLC, GC, LC-MS/MS, GC-MS, ICP-MS, CE, SEC-MALS, CE-SDS, cIEF, NMR, KF, titrations, and instrumental and wet chemical techniques. Other duties may involve analytical method modification, development, and validation. The incumbent may function as the primary contact on one or more development projects. In- depth involvement with the project team concerning the chemistry of the project and analytical chemistry needs is expected Core Responsibilities: • Develop and validate new analytical procedures. Independently, detects and solves complex problems of high technical difficulty., • Perform sample analysis using various analytical techniques (e.g., LC, GC, LC-MS, GC-MS, ICP-MS, ELISA, SEC-MALS, CE-SDS, cIEF, etc.), interpret results, and prepare high-quality documentation such as protocols, analytical reports, and summary reports., • Document all analyses per SOPs., • Prepare SOPs, test methods, and other GMP documentation., • Independently, detect and solve complex problems of high technical difficulty., • Apply knowledge and expertise from multiple disciplines (including QA, QC, Analytical and production) to achieve project goals., • Conduct investigations independently., • Troubleshoot analyses and instruments., • Support qualification of reference materials., • Develop new analytical procedures., • Validate analytical methods., • Prepare and review scientific reports., • PhD in Analytical Chemistry or equivalent, • Minimum of 8 years’ experience in a GMP environment., • Minimum of 5 years’ experience in method development and validation for small molecules Active Pharmaceutical Ingredients (APIs). Experience with Process Development of APIs., • Experience with LC, GC, GC-MS, LC-MS, IC, spectroscopy, and wet chemistry., • Experience mentoring staff members in an analytical department., • Formal project management training., • Experience with writing method validation protocols and reports desirable., • Health & Wellness: Comprehensive health & Wellness benefits. Access to mental health resources and wellness programs. Generous PTO and holiday pay policies., • Financial Wellness: Comprehensive total compensation package that includes competitive base salary, Defined Contribution Pension program, eligibility for performance-based bonuses, and attractive 401(k) Plan with company match., • Professional Development: Opportunities for continuous learning through LinkedIn Learning, workshops, conferences, and mentorship. Tuition Assistance for Undergraduate and Graduate degree programs. At Veranova, we are on a misson to meet people that believe in our values and can contribute to the team in a variety of ways. Please visit to view all open roles and join our Talent Community to stay connected and learn about opportunities as they arise. We value a range of experiences and perspectives. If you want to be part of improving and saving the lives of patients, we encourage you to apply regardless of whether you meet every qualification listed. If you are a veteran, first responder, or in the process of transitioning from service member to civilian life, we encourage you to apply. Your experience brings invaluable skills and insights that can contribute to our team. For applicants who may require a reasonable accommodation for any part of the application or hiring process due to a disability, you may submit your request by sending an email to in order to confirm your request for an accommodation. Please include the job number, title, and location of role. This option is reserved for individuals who require accommodation due to a disability. Information received will be processed by a U.S. Veranova employee and then routed to a local recruiter who will provide assistance to ensure appropriate consideration in the application or hiring process. Additional Information: Applicants for this role must be authorized to work in the United States without further employer sponsorship. Agency and Search Firm Representatives: Veranova does not accept unsolicited resumes from agencies and/or search firms for this job posting. Important Notice Regarding Recruitment Scams: Veranova is committed to providing a professional and secure recruitment experience for all applicants. Unfortunately, fraudulent job postings and recruitment scams are becoming more prevalent. We want to ensure that all candidates are aware of potential scams. Please see our notice here. • Legitimate communications from Veranova will only come from official email addresses using our domain: @veranova.com., • Legitimate LinkedIn communications will only come from active Veranova employees., • Veranova will never ask candidates for sensitive personal information during the application process (e.g., bank account details or social security number). All your information will be kept confidential according to EEO guidelines. Veranova is an Equal Opportunity Employer. It is the policy of Veranova to provide equal employment access and opportunity to all persons regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity and/or expression, physical or mental disability, genetic information, citizenship, marital status, veteran status, or any other characteristic protected by federal, state, or local law. All applications are carefully considered, and your details will be stored on our secure Application Management System. This is used throughout Veranova for the selection of suitable candidates for our vacancies as they arise. Veranova respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice.

Support scalable data solutions using modern cloud tools and APIs, and help maintain analytical and data science codebases. Minimum 4 years of hands-on experience in data science or a related field. Preferred 6+ years of hands-on experience in data science or a related field.

We are seeking a highly motivated Data Scientist / Data Analyst to support government programs by developing advanced data-driven solutions. The successful candidate will be experienced in building dynamic reports, dashboards, and visualizations from very large datasets, while applying machine learn

Senior Data Scientist AWS SageMaker & Actuarial Data Pipelines. Competencies: Agile Way of Working Digital: AWS Cloud Computing, Machine Learning, Python for Data Science. Role Overview: We are seeking a highly experienced Senior Data Scientist / ML Engineer with a strong background in AWS SageMaker

Experience & Domain Knowledge: 6+ years of experience in data analytics or a related field, with a substantial portion in the telecommunications industry preferably in the networking experienced in data analysis/data scientist roles.Data Analysis Skills: Exceptional analytical and problem-solving sk

Mine various data systems, clean and structure data, develop data pipelines, and identify areas for data quality improvements in the enterprise data environment. Gilbane is looking to add a highly skilled Senior Data Scientist to our Information Technology Team. You are a scientist that is a master

The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness

As part of our team, you'll play a key role in reshaping compliance structures and processe Data Scientist, Scientist, Data Science, Data Engineer, Operations, Compliance, Technology.

Technically Strong And Detail-Oriented Professional.We are seeking a technically strong and detail-oriented professional to support the model development and migration processes.This role involves migrating and validating XGBoost-based machine learning models originally developed in Java into Python

Technically strong and detail-oriented Data Scientist to support the model development and migration in Java as well as in Python.

Job DescriptionJob DetailsDescription EVERSANA applies AI/machine learning techniques to the breadth of healthcare and non-healthcare data integrated with our deep clinical expertise to provide a unique and unmatched suite of services and products to the pharmaceutical and healthcare industries.We are seeking highly motivated individuals who are passionate about AI/machine learning and its application across disparate data resources to help our healthcare clients gain insights not previously possible and to connect patients to therapies sooner and positively impact their lives.EVERSANA is seeking a Data Science professional to design, implement and deploy advanced machine learning / artificial intelligence algorithms across multiple domains including, but not limited to, healthcare, media, programmable ads, retail, and manufacturing. These analysis tasks will involve developing original code and leveraging EVERSANA’s existing healthcare analytics platform to provide analytic solutions in support of EVERSANA’s internal and external clients. This professional will be a member of EVERSANA Data & Analytics Data Science team. Experience • Population Health, • Health Economics, • Epidemiology, • Development of machine learning solutions in healthcare, • Experience with production-level machine learning platforms, • Genomics data processing / bioinformatics, • Social media analysis/NLP, • Programmatic Ads / Algorithms, • Apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets, • Develop visualizations for delivery to clients, • Develop software solutions using Python, and/or R, • Interface with other EVERSANA analysts and program managers and with Eversana customers, • Contribute to EVERSANA's machine learning platform, • Degree in any of the following majors: Engineering, Computer Science, Mathematics, Bioinformatics, Physics, Quantitative Economics, Statistics Qualifications, • Big data technologies (e.g. Spark, Snowflake), • Scientific computing experience, • Graph database / graph machine learning #LI-TL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are seeking an experienced Data Scientist to join our Data Science Services team at CertaraAI. Apply classical machine learning techniques to large clinical datasets across a variety of use cases, utilizing advanced data imputation, feature engineering, and model tuning methodologies. Interface w

At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies.Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizan

Strong skills in data visualization, dashboard design, and interpreting complex datasets. Collaborate on data science projects involving both text and numerical data, especially in healthcare context. Preprocess data by extracting, combining, and cleaning test files and datasets to support clinical

Position Overview: We are looking for a Staff Data Engineer/Scientist looking for new challenging problems. Minimum 6 years of relevant experience as a Data Engineer/Scientist.

This crucial role will sit on our data science team and report to the Data Science Manager. Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter

Technically strong and detail-oriented Data Scientist to support the model development and migration in Java as well as in Python.Migrate and validate XGBoost based ML models originally developed in Java (based on DL4J library) into Python using a custom-built internal Python framework.Work closely

Job DescriptionSalary: At Mad, we embrace the mad scientist persona! How? We question assumptions. We strive to raise the bar. We guess, test, learn and improve! Mad Collective, headquartered in Barcelona, is a dynamic team of over 75+ passionate professionals. Our diverse workforce, representing more than 25 nationalities, is a key driver of our success. At Mad Collective, we specialize in monetizing our in-house brands, launching innovative products, and crafting exceptional user experiences. We are excited about the future and committed to continuous growth and excellence. Join the collective and go mad with us! We are looking for a motivated and curiousTraffic Manager Intern who is eager to learn the fundamentals of performance marketing in a fast-paced, data-driven environment. As part of our team, you will gain hands-on experience working with advertisers, partners, and marketing technologies, while contributing to projects that drive real impact. This internship is a great opportunity for someone passionate about digital marketing, data analysis, and creative problem-solving who wants to kick-start their career in the industry. What Youll Do • Manage the onboarding process for new advertisers, ensuring a smooth start., • Support the management of advertisers/partner accounts., • Assist such as campaign setup, optimisation, invoicing and other tasks., • Help prepare presentations, reports, and documentation for internal and external stakeholders., • Contribute to competitor research and analysis., • Stay informed on the latest digital marketing trends and tools., • Collaborate with the team on creative solutions to improve campaign performance., • Provide backup support as needed during holidays, • Support other marketing tasks as needed. What Were Looking For • Currently pursuing or recently graduated with a degree in Marketing, Advertising, Business, or a related field., • Strong computer and internet skills; comfortable with Microsoft Office/Google Workspace (especially Excel/Sheets)., • Analytical mindset with curiosity to test, learn, and solve problems., • Strong organisational skills with a focus on accuracy and efficiency., • Clear communication skills, both written and verbal., • A proactive attitude, eager to take initiative and bring new ideas., • Interest in performance marketing, ad tech, and data-driven decision making., • Hands-on experience in performance marketing and traffic management., • Exposure to industry tools, strategies, and data analysis., • Mentorship from experienced professionals in a collaborative environment., • The chance to contribute ideas and see them implemented. ** Applications must be submitted in English to be considered

The Data Scientist II is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and stra

Experience working with ServiceNow data and other IT operations datasets. Feature Engineering Collaborate with Data Engineers to identify, transform, and optimize features from ServiceNow, operational telemetry, financial, and customer datasets. Collaborative Problem-Solver You thrive in cross-funct

Data Scientist II - Generative AI. The Data Scientist II - Generative AI will apply knowledge and experience to real world problems and seek to utilize their skills to reduce the cost of healthcare and improve health.

Job Description The Senior Sales Engineer role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets. The position is titled Senior Sales Engineer, reporting directly to the General Manager, US, and is situated within the Global Sales Organization. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda’s solutions meet client needs effectively. LOCATION & WORK ARRANGEMENT The role is remote, but you will be expected to travel to client sites and occasionally for in-person Infinite Lambda meetings. You will be covering both South America and the US, offering flexibility to work remotely and onsite as needed. DETAILED RESPONSIBILITIES PROSPECTIVE CLIENT ENGAGEMENT * Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle; * Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively; * Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations; * Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals; * Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity; * Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap. LEAD SALES ENGINEER STRATEGY * Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions; * Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends; * Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients; * Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning; * Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness; * Deepen subject-matter knowledge in Infinite Lambda’s key industry verticals, ensuring a strong understanding of client needs and market dynamics. SOUTH AMERICA EXPANSION * Partner with Infinite Lambda’s executive team to identify and establish delivery hubs in South America, supporting the company’s growth strategy in the region; * Ensure the expansion aligns with Infinite Lambda’s mission and values, contributing to long-term success in the region. ADDITIONAL DUTIES * Work with Infinite Lambda’s executive team to help steer the company’s overall strategy in a positive direction, providing insights from sales engineering perspectives. * Represent Infinite Lambda at external conferences and events, promoting the company’s brand, thought leadership, and expertise in data and cloud engineering. REQUIREMENTS * Education: A Bachelor’s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred; * Experience: A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience; * Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential; * Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, micro services, DataOps and MLOps practices; * Communication skills: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders; * Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion; * Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships; * Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role. * Traveling: The Sales Engineer role Requires travel at least once per month to NYC/California, Philadelphia, etc... INTERVIEW PROCESS * Intro call with TABP: 45-min * Technical interview with Head of Engineering: 90-min * Interview with General Manager & CTO: 45-min * Cultural Chat with CEO: 45-min Why join Infinite Lambda * We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture; * You work autonomously here in a wholesome environment and get as much paid holiday as you need; * The projects are diverse and give you plenty of opportunity to experiment with new tech; * The benefits are plenty, with work-from-home budget, a company MacBook and more on the list. ▶ ▶ Submit your CV in English in PDF. ▶ ▶ Mind that as we are an international team, internal communication is in English. Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other. Compensation Range: $180K - $200K

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