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Be part of an amazing story. Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Lead Data Scientist advances Macy’s enterprise data science strategy by leading complex initiatives that transform customer experience and business performance. This role manages group work, mentors data scientists, and partners with senior stakeholders to embed AI-driven solutions into critical workflows. By ensuring scalability and proof of value (POV), the Lead Data Scientist accelerates innovation and delivers measurable outcomes across the organization. What You Will Do • Lead the design and deployment of advanced data science and AI models for enterprise use cases that solve complex business challenges and influence strategic decisions., • Guide teams in applying Generative AI and Large Language Models (LLMs) to create intelligent, customer-centric solutions., • Oversee hypothesis generation, data requirements, and model development to ensure alignment with business priorities., • Evaluate proof of value (POV) for data science initiatives, determining scalability and pivoting strategies when needed., • Partner with senior stakeholders to translate analytics into actionable strategies that drive retail innovation., • Collaborate with Data Engineering and Architecture teams to implement robust, scalable data pipelines and enterprise data assets., • Ensure responsible AI practices, including governance frameworks and bias mitigation, in all deployed solutions., • Mentor and develop data scientists, fostering a culture of collaboration, technical excellence, and continuous learning., • Communicate insights through compelling visualizations and clear storytelling to influence decisions., • Stay ahead of emerging data science and AI trends to enhance Macy’s capabilities and competitive advantage. Skills You Will Need • Technical Acumen: Proficient in Python, R, SQL, and cloud platforms such as Google Cloud Platform; experienced with big data tools (Spark, Hadoop) and visualization tools (Tableau, Power BI); understands machine learning concepts and generative AI applications., • Stakeholder Management: Builds strong partnerships with business leaders to embed data science into decision-making processes and ensure adoption of solutions., • Communication: Delivers clear, compelling insights through written, verbal, and visual storytelling to diverse audiences. Who You Are • Brings 5+ years of experience applying data science in business environments, including experience leading group work and mentoring others; advanced degree preferred., • Demonstrates fluency in advanced algorithms, statistical methods, and AI techniques., • Experienced in regression, clustering, time-series analysis, and machine learning., • Comfortable influencing senior stakeholders and managing priorities in fast-paced environments., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

The Lamont-Doherty Earth Observatory (LDEO) of Columbia University invites applications for a Postdoctoral Research Scientist to support a U.S. national-scale effort (Farm-MIP) aimed at improving the accuracy of modeling of soil organic carbon, nitrogen cycling, water use efficiency and agricultural productivity across a range of cropland and grassland management system. This work will directly benefit U.S. farmers and ranchers by providing better information to guide the design of management practices such as optimized nutrient management, cover cropping, conservation tillage, and improved grazing management. The successful candidate will help co-lead this model intercomparison and ensemble effort. Key responsibilities include coordination and refinement of Farm-MIP protocols; compilation of standardized model input and observational datasets across different scales and for different regenerative agricultural practices; and application of process-based models to quantify agroecosystem outcomes. These efforts will support modeling teams, farming and ranching communities, and the broader scientific community. The successful candidate will work closely with the Agricultural Model Intercomparison and Improvement Project (AgMIP) Coordination Unit and major soil, crop, and hydrological modeling groups in the U.S. Additional information about AgMIP can be found at: ___; and details about Dr. Xia's Soil System Research Group at LDEO can be found at: ___. Candidates should have recently completed or be nearing completion of a PhD in agricultural modeling, soil science, environmental data science, earth system science, ecology, remote sensing, computer science, or closely related field. The ideal candidate should have demonstrated knowledge of soil and agricultural modeling and experience working with both the modeling and farming communities. Strong data science skills, including geospatial analysis and cloud computing, and proficiency in coding languages such as R, Python, and Google Earth Engine, are essential. Excellent oral and written communication skills, along with the ability to network and collaborate effectively, are also critical for success in this Postdoctoral position. Prior experience in applied machine learning and data assimilation is strongly recommended. The search will remain open for at least 30 days after the ad appears and will continue until the position is filled. Initial appointment will be for one year with the possibility of renewal contingent upon performance and funding. Projected start date is june 1, 2026 with some flexibility. Columbia University benefits accompany this Officer of Research appointment. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

A luxury fashion brand is looking for a Senior Data Scientist to join their Digital team in New York City. Candidates should have over 3 years of experience in data science and demonstrate proficiency in Python, advanced SQL, and tools like Dataiku and Google BigQuery. The role involves leading anal

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $186,000 - $212,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Technical Product Manager, Data Infrastructure in our New York office. About the Role: You will be responsible for defining and driving the product architecture, roadmap, and prioritization for data lakehouse architecture in alignment with Applecart's business and data practices. Additionally, be the champion for best practices in release engineering, observability, and data governance. In this position, you will work with the data infrastructure, research, and measurement teams. This role will report to the Director of Product Management. What You'll Do: • Define and lead the product vision for core areas of Applecart's internal data platform, including capabilities such as metadata management, data classification, observability, and identity resolution., • Own the product roadmap and prioritization process in close collaboration with engineering, analytics, data scientist and legal teams., • Translate data consumption/ creation, internal use cases, and stakeholder feedback into clear, structured product requirements., • Partner with Data Engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Snowflake, Databricks, Airflow, and dbt., • Guide adoption of data infrastructure and tooling across teams by ensuring it meets the needs of data producers and consumers alike., • Define and track success metrics that demonstrate impact on data availability, trust, usability, or activation., • 6+ years of experience in product management, with at least 3+ years focused on data platforms, infrastructure, or enterprise SaaS environments., • Experience owning platform, infrastructure, or customer data products in a data-rich environment., • Strong written and verbal communication skills., • Impeccable attention to detail and superior organizational skills., • Proficiency in SQL—enough to engage meaningfully with technical stakeholders and dive into data use cases., • Familiarity with data observability platforms or privacy and compliance frameworks., • Background implementing or scaling internal data catalogs, customer data platforms, or data activation pipelines., • Strong technical background with working knowledge of AWS, Snowflake, dbt, and cloud-native data architectures., • Proficiency in Agile development practices and tools—roadmapping, story writing, backlog grooming, and sprint planning., • Familiarity with Git-based code management and SDLC workflows., • Experience driving adoption of observability and monitoring practices across infrastructure products., • Deep understanding of data governance, including data security, privacy regulations, and compliance standards., • Prior experience as a software or data engineer is a plus., • Experience with AI/ML workflows is a plus. This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 to $195,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow. XDOyWllq0r

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 7+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Product Manager, Surveys in our New York office. About the Role: You will be responsible for defining and driving the product architecture, prioritization, and roadmap for our survey products. This includes both current offerings and developing and launching greenspace products that leverage Applecart's proprietary data assets to create innovative survey-driven insights. You will work closely with the Vice President of Data Science and his team of data scientists and analysts to design, launch, and iterate on deeply insightful, statistically sound products our customers can't do without. This role will report to the Director of Product Management for Insights & Optimization. What You'll Do: • Define and lead the product vision for Applecart's survey offerings, including building out a robust unified data pipeline, integrating with data sources from other teams, and generating automated visualizations., • Own the product roadmap and prioritization process in close collaboration with data science, engineering, and reporting teams., • Transform lift, probability, statistical significance, crosstabs, and other statistical and survey concepts into clear, structured product packages that clients can easily digest., • Partner with reporting teams and engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Databricks and PySpark., • Design the future of our survey deliverables, from static presentations to interactive UI environments., • Define and track success metrics that demonstrate impact on client satisfaction, usability, and messaging and creative selection., • 5+ years of experience in product management, with at least 3 years focused on data products, infrastructure, or enterprise SaaS environments., • Professional experience and/or familiarity with data science or survey work and theory, especially as a product manager., • Impeccable attention to detail and superior organizational skills; able to synthesize densely technical product features into coherent requirements as well as clear external-facing deliverables., • Ability to thrive in a highly dynamic environment where priorities can shift outside of planning periods., • Strong written and verbal communication., • Thoughtfulness about developing and communicating clear milestones (including non-technical ones) that take a product from proof of concept through launch., • Intellectual curiosity and openness to new ideas and robust (but friendly!) discussions with key stakeholders at all levels., • Eagerness to collaborate cross-functionally with both local and remote colleagues from a variety of personal and professional backgrounds., • Prior experience as a survey scientist or on a data-intensive client analytics team., • Understanding of end to end survey research workflow is a plus such as sampling, questionnaire design, data collection and analysis. Relocation assistance is not available for this position. Candidates must be based in or willing to relocate to the area independently. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 to $195,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

Job DescriptionOur Company Arch is a Series B financial technology company that automates the management of private investments, improving access, understanding, and the human experience of investing across asset classes. Private investments such as venture capital, hedge funds, and private equity, make up roughly 25% of the investment universe. Traditionally, investors, advisors, banks, families, and managers track hundreds of investments in complicated spreadsheets, file folders, and busy inboxes. Not only is this tedious and time-consuming, but it is rife with opportunity for manual data entry errors, inconsistent reporting, and lost information. Enter, Arch. Arch delivers standardized data, documents, and insights in a single platform, avoiding the need to chase information across dozens or hundreds of ‘portals’. Our purpose is to save investors’ time while empowering them to make more informed investment decisions, leading to better financial outcomes. We are a fast-growing, dynamic team of 200+, serving over 400 clients, including several of America’s largest banks, families, and financial institutions. We’ve over doubled the size of the company every year since inception and we are looking to hire in all departments as we scale. About the Role We are looking to hire a Senior Manager, Data Operations to lead and scale the data services function within Arch's data organization. In this role, you will lead a team responsible for extracting, analyzing, and delivering data from Arch's platform for business use. You'll formalize processes, establish operational cadences, and build the foundation for a scalable data services function that enables teams across the company to operate more effectively. This role is key to solving the company's most difficult operational data challenges, including problems that don't neatly fall into product or engineering and require strong business judgment to navigate. You will investigate root causes, determine whether solutions are possible, and drive the work through completion. You'll serve as a bridge between technical teams and internal stakeholders, advising on data processes and best practices while ensuring projects move forward and deliver meaningful outcomes. The ideal candidate enjoys solving complex problems, is comfortable operating in ambiguous environments, and takes full ownership of projects from initial idea through delivery. Your responsibilities will include: * Owning and scaling Arch's data services function, including the team responsible for extracting and delivering data from the platform for business use across the organization. * Leading high-impact internal data initiatives that help Arch operate more intelligently, including projecting data volume, building out dashboards, establishing regular reporting cadences, and identifying operational insights. * Driving end-to-end delivery of data projects, from identifying the problem and determining feasibility to building or coordinating the solution and ensuring successful implementation. * Partnering closely with teams across sales, operations, product, engineering, and leadership, acting as both a service organization and a thought partner on how data supports the business. * Serving internal teams as stakeholders by keeping them informed on project progress, timelines, and outcomes. * Managing the team's intake of ad hoc requests, ensuring work is triaged, actioned or escalated appropriately, and completed within SLA. * Supporting data-intensive products and processes by collaborating with clients to procure data, integrating it into the system, and validating output. * Building and scaling the data services team, including managing direct reports, hiring additional team members, and formalizing processes and documentation while maintaining continuity of existing operations. Reach out to us if you: * Have 7+ years of experience in operational or business-focused roles and are deeply curious about how companies actually operate. * Have demonstrated leadership experience, including managing direct reports, building teams, or leading cross-functional initiatives. * Have strong business sense and are an exceptional problem solver who thrives in ambiguous environments. * You don't need to be a pure data scientist or engineer, but you should have strong technical data fluency. Our core stack includes MySQL, Python, Notion, and MS Office / Google Suite. We build dashboarding and reporting tools internally. We're looking for experience with: * SQL (MySQL) or Python (one is sufficient) * Working with large datasets * Data cleaning, transformation, and analysis * Building projections or data models * Measuring and defining operational metrics * Enjoy taking end-to-end ownership of projects and driving them from kickoff through launch. * Have strong written and verbal communication skills and can clearly explain technical issues to non-technical stakeholders. * Are comfortable coordinating across teams and communicating progress clearly with stakeholders. * Thrive in fast-paced, high-stakes environments where priorities shift and new challenges arise frequently. * Are comfortable operating with urgency and delivering high-quality work on tight timelines driven by client SLAs. Bonus points if you: * Have worked with alternative investments, financial data, financial technology, or data delivery platforms. * Have experience in a data analyst, data science, or data operations role. * Have worked with large-scale or complex data systems. * Have experience building predictive models, statistical analysis, or data quality measurement frameworks. * Have experience in consulting or environments where solving open-ended problems was a core part of the role. A Note about us: All of our full-time roles are based onsite at our New York City office, where our team thrives on in-person collaboration and dynamic teamwork. Being onsite daily enables us to build strong connections, collaborate effectively to solve challenges, and foster an engaging environment focused on shipping product and delivering exceptional service to our clients. We encourage applicants currently located in or willing to relocate to the NYC area to join us in this exciting, hands-on workspace. Some perks of working for Arch include: * Strong Team - You’ll be backed by a strong team that consistently exceeds client expectations and ships new products quickly. * Your work is high impact - Being part of a small team means you have real responsibility and impact from day one. You'll be involved in discussions that drive the growth and direction of our platform from the very beginning. * Product Market Fit - We have strong product market fit, exceptionally low churn, and have grown mostly organically through word of mouth. * Team community and camaraderie - We have enormous trust in each other and always do what we can do to support one another. We're always ready to step in to help. * Great office - we’ve invested in a great space for the Arch team to come together, at 18th and Park in Manhattan (the old Buzzfeed / NYT headquarters). * Lunch is on Us - Grab lunch on us while you’re in the office and take a break to laugh, brainstorm, or just hang out with your teammates over a meal. Compensation Range: $145K - $170K

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We are seeking a highly skilled Senior Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice., • Communicate findings and strategy to internal stakeholders through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications. Requirements • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 3+ years combined postdoc and/or industry experience; OR an M.S. with 5+ years of relevant experience., • R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Strong experience in Python, Tensorflow and pytorch., • Prior experience with ITK, OpenCV, VTK., • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred qualifications • 3+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $186,000 - $212,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description About you: Are you interested in expanding a career in digital marketing? The WITHIN team is growing, and we're hiring for Digital Media Strategists who are willing to take the lead across multiple digital marketing channels to meet goals at the intersection of performance and branding. This is a unique opportunity in a rapidly expanding company. This role requires hands-on paid media experience (Meta, Google Ads, etc.) focused on driving conversions, revenue, or ROAS. This means managing and optimizing ad spend—not organic social, content, or engagement. If you haven't directly managed budget in paid channels, please apply to our Digital Media Buyer role instead. Responsibilities will include and are definitely not limited to: • Working with a portfolio of clients, • Optimizing account performance using data insights, A/B testing, and consumer research, • Client communication (written & verbal), • Working across multiple teams to design and execute marketing strategies that align with client goals and business objectives, • Producing meaningful marketing KPI dashboards and delivering cross channel performance reports with actionable insight, • Analyzing cross-channel performance data and extracting actionable insights, • Note, This is not a data scientist or analyst role, but the role does work regularly with data, including basic analyses & projections, • Implementing proprietary technology and best practices, • Delivering creative & copy recommendations to clients based on historical performance, • At least 1–2 years of experience in Digital Marketing, preferably Facebook & Google Ads, is REQUIRED., • Please see here for our opening for the role that does not require any prior experience, • Bachelor's Degree or equivalent experience, • General business acumen, • Desire to work in a deadline-oriented environment, • Interest in pursuing a career in performance oriented digital marketing, • Working knowledge of Excel (conditional statements, pivot tables and vlookups), • Cognitive Aptitude and Typing Test, • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Level 1 - $50,400-$57,920, • Possesses essential capabilities., • Level 2 - $57,920-$65,440, • Possesses developing capabilities., • Level 3 - $65,440 - $72,960, • Possesses notable capabilities., • Level 4 - $72,960-$80,480, • Possesses strong capabilities., • Level 5 - $80,480-$88,000, • Possesses advanced capabilities. About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .