About Cohere Commerce Cohere Commerce is the leading AI-driven platform for retail sourcing and vendor evaluation, trusted by buyers, consultants, and investors across North America. Backed by top-tier investors with tens of millions in funding and partnered with major retailers like Target and Sprouts, we deliver real-time, validated insights that help the industry make smarter product decisions, streamline supply chains, and enhance the customer experience. As we continue to grow, you’ll play a foundational role in shaping the future of retail intelligence. The Role We are looking for a highly motivated Data Scientist (Applied AI) to bridge the gap between traditional data science and cutting-edge Generative AI. In this role, you won’t just be crunching numbers in a vacuum—you will be building the intelligent engines and AI agents that drive our platform forward. What You'll Do - Build the Foundation: Design and build high-quality data pipelines by extracting, cleaning, and integrating multi-source retail data (e-commerce transactions, social media, supply chain, user behavior, and funding info). - Develop Applied GenAI: Play a core role in developing LLM-powered applications. You’ll build RAG (Retrieval-Augmented Generation) systems, manage vector databases, and continuously iterate on Prompt Engineering. - Architect AI Agents: Help design and implement AI Agent workflows. You will use function calling and multi-step reasoning to automate complex, retail-specific business logic. - Evaluate & Iterate: Write evaluation scripts to test model accuracy and prep datasets for fine-tuning, ensuring our models become leading "domain experts" in retail. - Drive Business Value: Apply machine learning and statistical methods to power personalized recommendations and uncover deep insights into customer behavior. - Ensure Data Integrity: Champion data governance, monitor data quality, and set up anomaly detection. You will also design and evaluate A/B tests to guide product decisions with hard data. What We're Looking For Required - Education: Bachelor’s degree or higher in Computer Science, Data Science, Statistics, AI, or a related field. (Recent grads, current Master's/Ph.D. students, and early-career professionals with 1-3 years of experience are highly encouraged to apply!) - Data Engineering Chops: Strong SQL skills with experience in massive data processing, ETL pipeline development, and an understanding of modern Data Warehouse/Data Lake architectures. - Programming & ML: Fluency in Python. You are comfortable with data wrangling, feature engineering, and standard machine learning workflows (classification, clustering, evaluation metrics). - LLM Foundations: You understand how Large Language Models work under the hood and have tinkered with frameworks like LangChain, LlamaIndex, LLM APIs, and vector databases. - Hacker’s Mindset: You are highly self-directed. You can read documentation, quickly pick up new open-source tools or protocols (like MCP), and creatively solve engineering roadblocks. - Analytical Rigor: You have a sharp sense for data, strong logical reasoning skills, and experience with hypothesis testing, A/B testing, and metrics management. - Collaboration: Excellent communication skills with the ability to work cross-functionally and turn data into actionable business insights. Bonus If You Have - Previous data project experience in retail, CPG, or e-commerce. - Familiarity with managed AI services on AWS or GCP. - Hands-on, demonstrable experience building RAG pipelines or AI Agents from scratch. Why You’ll Love It Here - Full-Stack AI Impact: You will get hands-on experience across the entire AI lifecycle—from raw, underlying data pipelines to top-level AI Agent applications. - Global Scale: You will tackle the industry's toughest challenges using real-world data from top-tier North American retailers. - Massive Growth Potential: We are a fast-moving, flat-structured startup. Your code, your models, and your ideas will directly shape the product and the industry. - Snacks and Products: Unlimited access to the latest unreleased snacks, drinks, beauty and more.

The Role We're looking for a full-stack, product-minded senior data scientist to help build a new greenfield product at Fusion. This work will unify resilience data from some of the world's largest and most systemically important organizations-and help define the future research and analytics for an entire industry. This is a high-ownership role for someone who wants to work close to customers, shape product direction, and apply advanced analytics and modeling techniques to real-world, high-impact problems. Key Responsibilities - Partner closely with customers and internal product teams to design and build the first in a new line of data products, using technologies such as Snowflake, dbt, Salesforce, and Streamlit. - Own and evolve existing analytical products involving Monte Carlo simulation, Bayesian networks, optimization (linear and constraint programming), and generative capabilities. - Contribute to internal analytics initiatives, including maintaining and improving our predictive churn model and supporting product and usage analytics. - Help influence product direction by identifying opportunities where data, modeling, or automation can meaningfully improve customer outcomes. Knowledge, Skills, and Abilities - Product-minded approach with the ability to learn new domains quickly, develop deep empathy for customer problems, and translate those needs into impactful data solutions. - Strong data storytelling skills, with the ability to turn complex analyses into clear, compelling dashboards and visualizations for both technical and non-technical audiences. - Comfort working across the data science stack, including production-grade SQL, dbt pipelines, simulation, optimization, machine learning, and emerging intelligent functionality. - Technical generalist mindset with enthusiasm for learning new tools, languages, and platforms, and comfort leveraging modern AI-assisted tools to accelerate work. - Strong SQL skills and familiarity with Java, or the motivation and ability to ramp up quickly. - Experience collaborating closely with customers or customer-facing teams and taking ownership of translating real-world problems into data-driven solutions. Qualifications (Education and Experience) - Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. - 5+ years of experience in data science, machine learning modeling and data products - Experience delivering value creating data products for end users - Experience working with Salesforce data or platforms (nice to have). - Exposure to simulation, optimization, or operations research techniques (nice to have). - Experience building or maintaining machine learning models, including customer churn or retention models (nice to have). Milestones for the First Six Months In one month, you will: - Complete all HR and onboarding requirements - Become familiar with Fusion's industry, strategy, data, tools and products - Begin contributing to existing analytics or product initiatives with guidance In three months, you will: - Being agile development of our new greenfield product in concert with our partners - Collaborate with customers and partners to effectively iterate and enhance the product - Commit tightly scoped enhancements to existing data science products In six months, you will: - Own and deliver the first version of our new data product - Directly manage and incorporate feedback from customers and function as a data product owner - Consistently meet delivery expectations with minimal oversight - Propose new enhancements and products to our growing line of data products Compensation & Benefits The annual base salary range for this position is $145,000-$160,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Disclaimers Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

Senior Data Scientist Location: Remote USA Job Description: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled Principal Data Engineer to lead the design, development, and optimization of large‑scale data platforms and analytical solutions. The ideal candidate will have deep expertise in MSSQL, AWS cloud services, Data Warehousing, Python, Airflow, and overall data management best practices, with a strong ability to lead teams, define architecture, and drive data strategy across the organization. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Technical Leadership - Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows - Lead end‑to‑end data engineering efforts, ensuring reliability, performance, and cost‑efficient data systems - Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration - Collaborate with cross‑functional teams (analytics, product, engineering, business) to align data solutions with business goals - Data Engineering & Pipeline Development - Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow - Manage large-scale data ingestion, transformation, and orchestration frameworks - Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems - Cloud & Infrastructure - Develop and manage cloud‑native data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.) - Ensure high availability, disaster recovery, and monitoring of critical data workflows - Implement CI/CD, infrastructure‑as‑code, and DevOps practices for data engineering workloads - Data Warehousing & Modeling - Design and enhance enterprise data warehouses and data marts following industry best practices - Drive dimensional modeling, data partitioning, performance tuning, and metadata management - Ensure consistency and quality across analytical datasets and data sources - Data Governance & Quality - Establish data quality frameworks, lineage tracking, validation checks, and documentation - Implement governance standards including security, compliance, and access control - Partner with business stakeholders to define and enforce master data and reference data strategies - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree in CS or IT related field - 10+ years of experience in Data Engineering, with at least 3+ years in a senior/principal‑level role - 7+ years of experience in MSSQL-query optimization, indexing, stored procedures, performance tuning - 7+ years of experience in Data Warehousing, ETL/ELT, and big‑data processing - 5+ years of hands‑on experience with AWS Cloud for data architecture and pipeline development - 5+ years of extensive experience with Airflow for workflow orchestration - 3+ years of experience in Python for data engineering (Pandas, PySpark, etc.) - 2+ years of experience in data management principles: governance, quality, lineage, and security Preferred Qualifications: - Excellent leadership, communication, and cross‑team collaboration skills. - Ability to translate business needs into scalable technical designs. - All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Na co dzień w naszym zespole: - telefonicznie obsługujesz klientów Banku - rozmowy przychodzące i wychodzące, - sprzedajesz produkty i usługi bankowe, - przyjmujesz zlecenia od klientów, - odebrane dyspozycje wykonujesz w aplikacjach bankowych, - udzielasz informacji na temat produktów, - dbasz o dobrą relację z klientem. To stanowisko może być Twoje, jeśli: - lubisz rozmawiać, poprawnie się wysławiasz i potrafisz słuchać, - posiadasz minimum wykształcenie średnie, z łatwością zdobywasz nową wiedzę i chcesz się rozwijać, - odpowiada Ci praca zmianowa, a dyspozycyjność i elastyczność w układaniu czasu pracy nie jest Ci obca, - masz pozytywne nastawienie i motywację do działania, - myślisz kreatywnie i cechuje Cię odporność na stres, - lubisz wyzwania i osiąganie postawionych celów, - sprawnie obsługujesz komputer i masz ciekawość poznawania nowych aplikacji. - możliwość pracy zdalnej. Dodatkowym atutem będzie: - umiejętność płynnej rozmowy w języku angielskim, rosyjskim lub ukraińskim.