Senior data analyst- jobs in Scranton, PA - 4,599 jobs

Restaurants are the heart of our communities - where we go to celebrate life's memorable moments with those we love, and find comfort and familiarity in the world. But while the digital and data revolutions have transformed other parts of commerce and hospitality, restaurants haven't had the same opportunity. The result has been an industry that's - on average - had their profit margins shrink by 5x over the past 20 years. Bikky was founded on the belief that restaurants deserve the same access to data as the largest, most sophisticated businesses in the world. We believe that data can fundamentally transform the economic model of the entire restaurant industry - producing better businesses, more jobs, and stronger communities. Bikky is based in New York City and has raised over $15 million in funding to date, most recently with a Series A in Q4 2023. We're proud to serve thousands of restaurant locations across the U.S., including major brands like Bojangles, MOD Pizza, Dave's Hot Chicken, and Long John Silver's. About the role As a Data Analyst on our Data Operations team, you'll act as the bridge between our customers and our product. You'll support customers through their journey adopting Bikky - starting from onboarding their data all the way to leveraging it for sophisticated analyses. You'll be a key stakeholder in making sure that our customers understand Bikky's insights and that we become a core part of their critical decision making processes. Unlike data roles that focus on internal analyses, at Bikky you'll work across the entire restaurant industry - helping brands use their data to solve their hardest business challenges. From a technical perspective, you'll have the opportunity to contribute throughout our entire data stack. A typical day might include everything from updating a DBT model to support a new customer's needs, to helping customers perform an analysis on customer retention. You'll collaborate closely with our product and engineering teams to refine and enhance our data tools based on real-world customer feedback. Long term, there's an opportunity to grow into a product development, data engineering, or data science role depending on where you'd like to take your career. About you Our data roles are unique; they're product and customer facing, rather than internal facing. To meet that challenge, we're looking for candidates with a multidisciplinary skillset. In our interview process we'll look for analysis experience, business sense, and interpersonal skills. The ideal candidate will have: 1-3 years of experience working with data Fluency in SQL, experience with DBT a bonus Experience in a business facing or customer facing analytical role Strong statistical skills Excellent verbal and written communication That said, we want to talk with exceptional candidates from any background. If you feel you're a great fit for the role, please reach out even if you don't meet all of the points above. Why us At Bikky, you'll work on challenging problems that matter to real businesses while tackling industry leading technical challenges. Our DBT + Snowflake implementation is in the top ~1% of industry-wide sophistication and we grapple with novel data engineering, analytical, and product problems every day. Alongside challenging work, you'll have the support of a fully Senior and Staff level team. You'll be one of our first non-senior level hires and we're deeply committed to making sure you'll be successful. You'll have the opportunity to accelerate your career by working alongside some of the best in the industry. Perks and Benefits $100,000 - $140,000 annual salary Generous equity compensation Top tier (for stage) health insurance including medical, vision, and dental Ability to participate in a 401k Bikky offers a hybrid working environment. For candidates in New York City, we have an office where teammates can opt to work 2-3 times per week. Flexible vacation policy

About The Team Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively. The Internal Audit team plans and executes audit projects according to our risk-based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion. We are looking for data scientists and AI developers who will power our mission by building data products that enable and empower continuous auditing and the identification and discovery of risks throughout various verticals. You will be deploying your engineering, data analytics and data science skills to be part of the mission to build state-of-the-art analytics products for the audit team. Responsibilities - Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLMAuditor (probe generation/answering cycles, human-in-the-loop assessments). - Model Evaluation & Audit Frameworks: conduct audits on the model lifecycle from training through deployment and monitoring, ensuring compliance with quality, performance, fairness, and risk-management standards. - Risk Identification & Mitigation: Identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and recommend remediation strategies. - Measurement Metrics & Statistical Validation: Define and assess model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses. - Communication & Collaboration: Develop and maintain collaborative working relationships with stakeholders, including data partners and owners across different business verticals. Clearly communicate technical findings, risk assessments, and recommendations to technical and non-technical stakeholders. - Data Analytics Services: Partner with auditors to provide data support and guidance for audit engagements, including conducting interviews, observing systems and operations, developing queries and testing strategies, deploying data quality checks to ensure completeness and accuracy for data sets, and deriving insights. - Data Warehousing: develop and maintain data warehouses across different business verticals to efficiently support audit engagements; implement data quality checks for key data assets and continuously collaborate with data partners to maintain completeness and accuracy of these assets. - Automation and self-service analytics: partner with auditors to identify and analyze key risk indicators, contribute to a continuous auditing data strategy that will translate into various use cases and corresponding data solutions that can automate the evaluation of the design and effectiveness of controls; build and maintain ETL data pipelines, as well as dashboards to support the solutions. - AI-Driven Automation and Insights: Leverage machine learning and AI to automate business and audit processes, surface insights from unstructured and structured data, and extend the team's ability to deliver actionable recommendations at scale. Develop, train, and implement proprietary machine learning and AI models, to scale up audit testing insights. - Professional Development: Continue to develop and expand knowledge in data analytics practices, machine learning, AI, and ByteDance products through continuous education. Provide data training to empower the audit team to derive insights. Minimum Qualifications - Bachelor's degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics. - Minimum of 5 years professional experience in applied data science, machine learning engineering, or AI research, specifically working with LLMs and traditional ML models and at least 5 years practical experience of data science or analytics from the technology sector, including but not limited to B2C SaaS, media tech, e-commerce, social media platforms, fintech etc. - Hands-on experience in designing, deploying, and monitoring large-scale ML models with thorough understanding of lifecycle risks and controls plus strong proficiency in SQL and Python (including libraries such as Hugging Face Transformers, TensorFlow, PyTorch, scikit-learn), data analysis tools, and ML pipeline orchestration platforms. - Expertise in defining and assessing model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses. - Extensive knowledge of transformer-based LLM architectures (e.g., GPT, BERT, T5, PaLM) and classical ML algorithms (e.g., regression, tree-based methods, neural networks). - Working knowledge of classical ML algorithms and LLM architecture and deep technical expertise in LLMs and Traditional ML and a proven track record supporting or performing AI/ML model audits or evaluations within a corporate, regulatory, or advisory context. - High oral, written, reading and listening proficiency in Mandarin is required due to system use, technical documents and frequent communication with Chinese stakeholders. Preferred Qualifications - PHD degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics. - Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLM Auditor (probe generation/answering cycles, human-in-the-loop assessments). - Ability to analyze model design, training methods, data pipelines, and inference behaviors. - Capability to identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and to recommend remediation strategies. - Experience building and maintaining data analytics solutions for continuous audit programs, including automating common analyses and recurring checks plus the ability to clearly communicate technical findings, risk assessments, and recommendations to technical and non-technical stakeholders. - Experience with data integration, ETL processes, and large-scale data processing systems plus working knowledge of cloud-based infrastructure such as AWS, GCP, Azure or Snowflake; working knowledge of large scale data processing techniques, such as Hadoop, Flink and MapReduce and a good understanding of data warehouse and data modeling principles. - Front end and back end software development skills.

Cambio is a software platform for world-class real estate decarbonization. We help commercial real estate owners and tenants bring their real estate portfolios to net-zero using a powerful suite of software tools and AI-based recommendations. Our mission: to take the real estate industry into the climate action era. We are looking for team members who are excited about building great products that our customers love and working hard at a mission-oriented climate startup. Our partners and investors include Y Combinator, Google, the U.S. Department of Energy, Stanford University and Fifth Wall. We are proud to be the fastest growing startup in our category. Join us on our mission to achieve net zero by 2050. The Role Decarbonizing real estate starts with precision-grade measurement and monitoring of asset performance, from energy to water. Cambio is automating the management of our customers' carbon data by creating the world's leading utility data and building systems platform. We are expanding our team of Data Analysts to work closely with our Partner Strategy, Product, and Engineering teams to ensure high-integrity, production-ready data that powers analytics, reporting, and AI-driven recommendations. As a Data Analyst at Cambio, you will own end-to-end data validation, transformation, and quality assurance for some of the world's largest and most sophisticated real estate portfolios. You will work hands-on with large, real-world datasets-writing SQL, using Python for analysis and validation, and building repeatable workflows that scale. If you enjoy solving complex data problems, care deeply about accuracy, and want your work to directly support climate action, this role is for you. What you will be doing Perform comprehensive data quality assurance and validation on large-scale utility and building performance datasets across multi-asset portfolios. Write and optimize SQL queries to extract, join, validate, and analyze data from internal production databases. Use Python to clean, normalize, validate, and analyze time-series utility data and identify anomalies, gaps, and inconsistencies. Transform raw, unstructured data from utilities, building systems, and third-party providers into standardized, analytics-ready datasets. Implement and execute data anomaly detection workflows, leveraging both internal tools and custom SQL/Python logic. Partner closely with product and engineering teams to improve ETL processes and harden data pipelines. Build and maintain complex Excel models and spreadsheets for data manipulation, analysis, and validation workflows. Create and populate data templates for sustainability reporting frameworks including GRESB, TCFD, and CDP. Impact With this role, you'll have the opportunity to achieve the following accomplishments: Lead the accurate measurement of energy, water, waste, and carbon data across a 500+ asset portfolio for a multi-billion-dollar real estate fund, enabling identification of 15%+ energy savings through Cambio's platform. Ensure the integrity of emissions data that powers AI-driven retrofit recommendations and portfolio-level decarbonization strategies. Work directly with real estate owners to resolve data issues, saving customers 100+ hours of manual work and reducing portfolio data gaps by 25% or more. Qualifications Strong quantitative background: 2+ years of experience in data analytics, accounting, finance, or related quantitative field. Advanced SQL skills: Comfortable writing complex queries involving joins, CTEs, window functions, aggregations, and data validation logic. Python proficiency: Experience using Python for data analysis and transformation (e.g., pandas). Ability to write scripts to validate datasets and automate repeatable checks. Advanced Excel skills required: You are highly proficient in Excel with experience in data manipulation, validation, complex formulas, and building analytical models. You are willing to roll up your sleeves to work with large, unstructured, and inconsistent datasets. Data-obsessed: You are meticulous and thrive when surrounded by numbers. You have a sharp eye for detail and can spot inconsistencies and anomalies in complex datasets. Analytical problem-solving: To you, cleaning and validating messy data is an exciting puzzle to solve. You have the ability to think creatively when addressing data quality challenges. Collaborative team player: You work effectively with engineering and product teams to troubleshoot technical issues and improve data workflows. Experience working with carbon or building data: Experience handling energy, utility, carbon, or real estate data is a bonus, but not required. Requirements: Must be based out of our New York or San Francisco hub Have US work authorization We are in office 3-4 days per week Compensation: The compensation for this role is consistent of cash, equity and benefits. Base pay for NY/SF based candidates is $100,000-105,000 annually

Akkodis is seeking a Data Analyst for a Contract job with a client in New York, NY (Hybrid). The ideal candidate will have strong experience in Money Movement Trade Monitoring within Wealth Management, and advanced skills in Neo4j, Python, and real-time data processing. Rate Range: $41.67/hour to $49.24/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Analyst job responsibilities include: * Analyze and monitor money movement trades for AML, fraud, and surveillance in Wealth Management. * Develop and optimize Neo4j Graph database queries using Cypher and Graph Data Science. * Architect and tune Neo4j infrastructure for performance and resilience. * Perform batch data engineering using Apache Spark and Python to populate Neo4j and generate downstream feeds. * Integrate real-time services with Kafka for event processing and ML model inference. * Solve complex graph problems using AI/ML techniques. * Work across all phases of SDLC including requirements analysis, data modeling, development, testing, and deployment. Desired Qualifications: * Bachelor's Degree in Computer Science, Data Science, or related field. * 8+ years of overall experience, including 3+ years in architecture roles. * Minimum 3 years of experience in Money Movement Trade Monitoring (AML, Fraud, Surveillance). * Senior-level expertise in Neo4j and Cypher queries. * Strong programming skills in Python and experience with Apache Spark. * Experience with Kafka, real-time stream processing, and ML model integration. * Advanced analytics and problem-solving skills. * Excellent verbal and written communication skills. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *************************** Pay Details: $41.67 to $49.24 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ****************************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

San Francisco or New York City Anrok is the leading AI-driven tax automation platform enabling businesses to expand globally without compliance complexity. As the digital economy has grown 6x over the last decade, software businesses have gone from not worrying about sales tax to needing to monitor exposure, calculate rates, and file returns across 20+ US states and many countries worldwide. This creates a critical bottleneck for companies that should be able to transact with customers everywhere. Anrok eliminates this complexity by connecting with billing and payment systems to automate tax monitoring, calculations, and filing end-to-end. Our unified platform handles the ever-changing maze of tax laws at municipal, state, and federal levels-so companies can focus on growth, not compliance. Our customers include: 40% of Forbes Top 50 AI companies 20% of Forbes Top 100 Cloud companies Top companies like Notion, Anthropic, and Cursor We're making compliant digital commerce a reality for companies big and small, backed by over $100M from leading investors including Sequoia, Index, and Khosla Ventures. We're looking for a proactive and detail-oriented Data Analyst to become Anrok's first dedicated analytics hire, taking ownership of our analytics program and evolving the metrics and frameworks that guide the business. You'll analyze customer behavior and lifecycle trends to surface opportunities that improve product experience, onboarding, and retention, while serving as the trusted partner across teams to keep data accurate, actionable, and accessible. This is a foundational role at a pivotal stage in our growth, ideal for someone who thrives in a hands-on environment and wants to scale a data function that underpins the entire company. In this role, you will Own and scale our analytics stack, ensuring every team can reliably act on trusted data Build and maintain dashboards and workflows that serve as the company's single source of truth Define and govern KPIs across teams, driving metric consistency, accuracy, and trust Partner with stakeholders to measure product performance, onboarding flows, and customer engagement, identifying opportunities to drive growth, adoption and retention Collaborate with engineering to improve pipelines and models, ensuring scalable and reliable analytics without sacrificing data quality Conduct deep-dive and ad hoc analyses to validate hypotheses, uncover growth levers, and support strategic decisions Translate insights into clear narratives for leadership and foster data literacy across teams, making analyses accessible and actionable What excites us 4+ years of experience in data analytics, business intelligence, or a related role (high-growth SaaS / fintech preferred) Fluency in SQL and experience with BI / visualization tools to analyze and present large datasets Experience optimizing data models and pipelines, and using scripting languages to automate workflows and scale analytics Strong communication and storytelling skills - able to translate analysis into clear insights that drive decisions High ownership mindset with the ability to operate independently and thrive in ambiguity Bonus: experience with SaaS/recurring revenue metrics (ARR, churn, LTV, payback) What we offer The equity upside of an early-stage startup with the product-market fit of a later-stage company. Daily lunch and snacks for those working out of our office hubs. Medical, dental, and vision insurance covered 100%. One Medical membership covered, flexible sick benefits, and more. Annual learning and development stipend for books, online courses, and conferences, as well as a curious team to share your learnings with. Annual team off-sites and in-person opportunities around our growing Anrok hubs. Home office setup stipend to ensure you have the equipment you need to thrive at work. At Anrok, we embrace a dynamic and flexible hybrid work environment based out of our growing office hubs - San Francisco, New York City, and Salt Lake City where we collaborate in-person 3 days per week. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Anrok recruiters will only reach out via LinkedIn or email with an anrok.com domain. Any outreach claiming to be from Anrok via other sources should be ignored.

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $150M Series D, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're hiring a Data Analyst to help build and scale our internal analytics capabilities. This is a foundational role where you'll create dashboards and data models to power business and product teams alike. You'll collect requirements, define key metrics, and deliver insights directly to stakeholders. You'll also lead your own projects to enable low-friction, self-service access to data across Baseten. RESPONSIBILITIES Build, enhance, and maintain dashboards across multiple functions with a focus on accuracy, simplicity and user experience Ingest and transform raw data into dashboard-ready views using tools like dbt, Airbyte, and BigQuery Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions Define and instrument core metrics around ROI, product adoption, customer lifecycle and financial performance Ensure data reliability and consistency through testing, version control and documentation across the analytics stack REQUIREMENTS 3+ years of experience in analytics, BI, or data engineering roles Strong SQL skills with the ability to write complex queries for data transformation and analysis Familiarity with modern BI platforms like Sigma or Hex Prior experience supporting B2B GTM organizations across the customer journey, with hands on experience in a CRM/CDP system Excellent communication skills and a collaborative approach to working with cross-functional teams An ownership mindset: you're excited to be the first hire in this role and to shape how data works at Baseten BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

City: NYC/ Santa Monica, CAOnsite/ Hybrid/ Remote: Hybrid, 4 days onsite Duration: 6 months with strong potential for extension/conversion (up to 24 months) Rate Range: Up to$67.75/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: Advanced SQL for analytical ETL/pipeline development (Snowflake or similar MPP). Scripting for automation (Python or JavaScript) including Google Apps Script. Experience automating recurring reporting (email sends, deck builds) end-to-end. Data quality engineering in pipelines (inline checks, alerting, exception handling). Dashboarding/BI (Looker and/or Tableau) with strong data modeling fundamentals. Version control and code review workflows (Git/GitHub). Excel workflow automation (macros, formula-driven processes refactored to code). Responsibilities: Build end-to-end reporting automation for business-critical initiatives (templated email sends, automated deck builds, scheduled jobs). Translate intake requests into clear data requirements and SLAs; design resilient pipelines that minimize manual touchpoints. Develop performant SQL and transformation logic against vetted analytical datasets; productionize jobs with parameterization and logging. Embed inline data-quality tests and safeguards (freshness, completeness, threshold checks) to ensure executive-grade accuracy. Create maintainable dashboards/visuals for operational through executive audiences; push beyond third-party tool limits when needed. Partner cross-functionally with upstream data/software engineering and domain analysts to align schemas, definitions, and cadence. Document solutions (runbooks, configs, data contracts) and contribute to reusable internal tooling/components for reporting enablement. Proactively identify opportunities to de-risk manual workflows and drive standardization across domains (e.g., Partnerships, Subscriber Planning). Qualifications: Bachelor's degree in a STEM/analytical field. 5+ years in analytics or data product/enablement roles with measurable automation impact. 3+ years hands-on SQL in an analytical ETL environment (Snowflake/BigQuery/Redshift). 3+ years scripting (Python or JavaScript); experience with Google Apps Script for workflow automation. Proven track record converting manual Excel processes into robust, scheduled pipelines. BI experience (Looker/Tableau); strong ability to convey technical/analytical concepts to diverse audiences. Familiarity with Git/GitHub and collaborative dev practices. Preferred: Advanced custom visualization frameworks (D3.js, Streamlit) to extend interactivity beyond standard BI tools. Experience prototyping "homegrown" reporting tools/products from scratch. Workflow orchestration familiarity (e.g., Airflow or equivalent). Applied statistics exposure (hypothesis testing, regressions) for KPI validation and QA.

Arcesium seeks a highly motivated Data Strategy Lead to join our Product Team. This individual will be at the forefront of defining and executing the integration partner strategy for Arcesium's products and clients - growing our integration partner ecosystem and working closely with product managers, segment heads, and others senior stakeholders across the organization as we enter new market segments and build new capabilities. Responsibilities Explore, assess, establish framework for integration of new partners on behalf of clients or product leadership, based on product roadmap, segment and commercial priorities Originate and cultivate relationships, including alliances, partnerships, and distribution with third-party data and software providers on behalf of Arcesium and its clients Collaborate with Marketing to develop and author thought leadership content that furthers Arcesium's reputation as a forward-thinking and trusted source of information, in particular on topics of data and software Conduct comparative analysis and provide thought leadership on the overall direction of the data landscape, including data in the asset management industry, covering the established providers as well as emerging sources and uses of data and software Ensure continuity and consistency of the Arcesium integration partner story working in conjunction with segment heads, sales, marketing, and product Qualifications The ideal candidate will have at least 3-5 years of relevant experience navigating the financial services third party data, software, and counterparty landscape This individual must possess exceptional verbal and written communication skills, and be able to manage multiple concurrent initiatives This person must be proactive and self-motivated, with a passion about working in a collaborative, entrepreneurial environment The expected annual base salary for this position is $200,000 - $240,000. Our compensation package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, benefits including medical and prescription drug coverage, and 401k contribution matching. The applicable annual base salary paid to a successful applicant will be determined based on multiple factors including without limitation the nature and extent of prior experience and educational background. #LI-JS1 #LI-Hybrid Remote eligible states include: NY, NJ, MA, MN, IL, FL, TX, OH, PA, CT, NC, CA, GA Arcesium's Personal Data Privacy Notice for Candidates is linked here.

At Angi, we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: A new homeowner turns to Angi every second Our network has 150,000+ skilled pros in 50+ service categories 150,000,000+ projects brought to Angi (and counting) Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well. For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business. We believe home is the most important place on earth, and so we work hard for our homeowners and our pros - making a real impact on families, communities, and livelihoods. Angi is an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

Alloy is where you belong! Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 700 of the world's largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers. Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we've been continuously recognized and named one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by American Banker, year after year. Check out our investors and read more about us here. About the team The Client Insights team focuses on helping clients get the most value out of their data. We rely on analytics and machine learning to help clients improve their policies, better detect fraud, and stay up to date with industry best practices. The Client Insights team is made up of data scientists and full stack engineers who are working to deliver customer-facing tools that leverage client data to enhance the agent experience and quicker detect fraud. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite twice a week, and remote employees onsite once a quarter. What you'll be doing At Alloy, we aim to help our clients protect themselves from the rapidly increasing and ever-changing threat of fraud, and our Client Insights team is part of the core foundation supporting that effort. With thousands of attributes coming from our portfolio of data partners tied to hundreds of millions of entities across our customer base, we have a massive trove of data assets at our disposal that we've only just begun to take advantage of. As a Senior Data Scientist on the Client Insights team, you will be spearheading business-critical efforts. Your responsibilities will be to: Apply statistical and machine learning techniques to develop customer-facing models that directly influence fraud prevention outcomes. Work closely with application engineers to operationalize models you've built, ensuring they meet rigors for customer usage, including model performance tracking and observability, and have mechanisms for retraining. Take the initiative to innovate on our current models and apply new methodologies to new and existing problems and products. Write clear, thoughtful documentation that makes data pipelines, modeling decisions, and trade-offs easy to understand and maintain. Partner with engineering and product leads to provide guidance and leadership in roadmap planning. Anticipate future support and maintenance overhead for the data-driven features and models you've built. Leverage a deep, data-driven understanding of the key drivers and metrics underpinning Alloy's products and business lines to draw insights and make recommendations that will help the company grow and scale effectively. Conduct bespoke analyses and research for new customer use cases that support future development of data science products. Who we're looking for You are: Building with the end solution in mind. Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work. Able to build strong cross-functional relationships within Alloy. Naturally curious with a knack for asking tough questions. A team player. You believe that big things happen when the right people are working together. Humble. Mistakes happen and owning them helps us learn and move on quickly Product-oriented. You have a desire to understand Alloy's business, strategy and priorities to help guide future product development You have: 6+ years of relevant experience doing modeling and data science work, conducting advanced analytics and building/iterating on real-world, production models. 2+ years experience leading projects Advanced proficiency in scripting languages like Python and querying languages like SQL Experience with classification, clustering, regression, and time series models. Experience working with unbalanced data sets Experience building models from scratch, iterating, and owning projects end to end. Nice to Haves: Professional experience in fraud detection Experience with AWS SageMaker Experience using: Airflow, Spark, Dbt, Git, Hex, Looker Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically! This position has a salary range of $165,000 to $200,000. Benefits and Perks Unlimited PTO and flexible work policy Employee stock options Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options 401k with 100% match up to 4% of annual employee compensation Eligible new parents receive 16 weeks of paid parental leave Home office stipend for new employees Annual Learning & Development annual stipend Well-being benefits include access to ClassPass, OneMedical, and Spring Health Hybrid work environment: our employees local to NYC are expected to work Tuesdays and Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Wednesday/Friday most employees Zoom into work from home while some take advantage of the quieter office. We're a lean team, so your impact will be felt immediately. If this all sounds like a good fit for you, why not join us? How to Apply Apply right here. You've found the application! Alloy is proud to be an equal opportunity workplace and employer. We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter. All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you're ever unsure, please contact us directly via our website before sharing personal information.

Business Analyst Job requirements: Business Analyst- MS SQL ETL and DatabaseBA/ Solution Architect type of consultant who can analyse the existing program written in .Net and Java script and analyses data linage is required Corporate Banking/ Treasury Banking Business Knowledge and understanding of products is required. Knowledge of Banks General ledger is required. Banking system Application Knowledge and integration or development of Banking applications are required. Business Analyst and system Architecture capability are required. Good oral communication skills and interpersonal skills are required. Strong Documentation skills as Business Analyst is required. Business Analysis & strong documentation skills MS SQL ETL and Database knowledge Corporate Banking and Treasury Product knowledge Data Lineage/ Tracking analysis for existing programs and create data extraction documentation. #DICE *************************** ***************************

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at **************** . About the Team: Platform AI organization is building pioneer innovative AI products based on the largest collection of clinical data in the world. Our AI teams are staffed with passionate technology and scientific experts looking to solve the most complex questions facing drug development through the use of machine learning and AI. We are looking for individuals who will solve the most complex questions facing the industry today innovative ML techniques based on both classical and GenAI approaches. The AI features developed will power modern clinical trial study design and study conduct with Rave and Patient Cloud products. You will report to Senior Manager of Data Science, and partner with all of the partner functions including Data Science, Product, and Engineering. Responsibilities: Your are an experienced Data Scientist who will design, implement, and productionize new AI driven features integrated with Medidata products Design, develop and validate machine learning models for novel clinical trial applications. Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving). Develop prototypes that communicate how models can be used within customer facing products Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler. Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production. Lead junior developers in implementations of AI tasks and drive technical decisions across teams. Qualifications: Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git Experience with AI service development, familiar with different model serving strategies and service basics (performance, latency, scalability, etc) Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication Experience with deep learning is preferred Previous experience with deploying GPU based models to AWS is a plus Nice to have(s) but not required... Experience with LLM or transformer based algorithms and methods Familiarity with NLP in healthcare data datasets in production Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position is $114,750-$153,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. Equal Employment Opportunity: In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applications will be accepted on an ongoing basis until the position is filled. #LI-Hybrid #LI-MM1 Inclusion statement In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history. Salary Pay Transparency Compensation for the role will be commensurate with experience. The total expected compensation range will be between $114750 and $153000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

Title: Data Analyst - Actuarial Support Reports To: VP, Actuary Department: Actuary Classification: Full-Time/Exempt Who We Are: Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart. Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace. Position Overview: The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program. Essential Job Functions: Collaborate with cross functional teams to improve data and automate reports where appropriate. Use analytics to spot trends, dependencies, and patterns. Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness. Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation. Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization. Qualifications: Degree in Business, Computer Science or another related field. A minimum 2 years of P/C insurance experience is preferred. Strong analytical and problem-solving skills as well as solid oral and written communication skills Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages. ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at ***************** About the Team: Platform AI organization is building pioneer innovative AI products based on the largest collection of clinical data in the world. Our AI teams are staffed with passionate technology and scientific experts looking to solve the most complex questions facing drug development through the use of machine learning and AI. We are looking for individuals who will solve the most complex questions facing the industry today innovative ML techniques based on both classical and GenAI approaches. The AI features developed will power modern clinical trial study design and study conduct with Rave and Patient Cloud products. You will report to Senior Manager of Data Science, and partner with all of the partner functions including Data Science, Product, and Engineering. Responsibilities: Your are an experienced Data Scientist who will design, implement, and productionize new AI driven features integrated with Medidata products Design, develop and validate machine learning models for novel clinical trial applications. Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving). Develop prototypes that communicate how models can be used within customer facing products Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler. Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production. Lead junior developers in implementations of AI tasks and drive technical decisions across teams. Qualifications: Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git Experience with AI service development, familiar with different model serving strategies and service basics (performance, latency, scalability, etc) Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication Experience with deep learning is preferred Previous experience with deploying GPU based models to AWS is a plus Nice to have(s) but not required... Experience with LLM or transformer based algorithms and methods Familiarity with NLP in healthcare data datasets in production Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position is $114,750-$153,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. Equal Employment Opportunity: In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applications will be accepted on an ongoing basis until the position is filled. #LI-Hybrid #LI-MM1

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global pharmaceutical client in Summit, NJ No Third-Party, No Corp to Corp, No Sponsorship Title: Trademark Data Management Analyst Location: Summit, NJ Hybrid: (Mon-Fri, 40 hours) Contract Duration: 12 months, with likely extension Pay Rate: $33.57 per hour (w2) PLEASE NOTE: To be considered for this position you must have a minimum of three years of trademark experience, particularly with trademark assignments and chain of title changes. Job Description: The IP Operations Assistant role is designed for an experienced, proactive, and self-starting individual seeking to work in a supportive and team-oriented setting. The position focuses on assisting with trademark data review, verification, and related administrative tasks, requiring interaction with in-house and outside counsel as well as business teams. Key Responsibilities: Interpret trademark correspondence to identify data entry errors and resolve inquiries from outside counsel. Manage trademark assignment and chain of title changes, including communication with outside counsel. Verify details of Powers of Attorney (POA), assignments, and related documents, preparing themfo r attorney signature, notarization, and legalization. Support the IP Operations Manager in departmental projects such as organizing POAs, running reports, and data verification. Assist with overflow projects and provide backup during team members' absences. Job Requirements: MUST HAVE A Minimum of three years of trademark experience, particularly with trademark assignments and chain of title changes. Required proficiency in trademark IPMS databases, preferably Memotech. Understanding of trademark law sufficient to perform duties with minimal supervision. Strong organizational, teamwork, and time management skills with attention to detail and problem-solving abilities. Experience handling high-volume, complex data with the ability to multitask and work under pressure. Proficiency in Excel (including advanced data analysis and manipulation such as pivot tables), Microsoft Outlook, and Adobe Acrobat. Proven ability to manage projects independently while providing clear updates to the IPOperations Manager. Preferred but not required: New Jersey Notary certification. Comfortable using information technology and document management tools. Strong written and verbal communication skills, capable of effective interaction at all company management levels.

QSE7, a Pennsylvania-based consulting company, is seeking to hire a high-aptitude individual to perform business process optimization, data analysis, and software development services to our pharmaceutical, consumer healthcare and medical device clients. Job Responsibilities As a QSE7 Data Analyst, you will be expected to perform the following services for life sciences clients: Assess and continuously improve key quality, manufacturing and financial business processes Facilitate cross-functional ideation and voice-of-customer (VOC) sessions to identify pain points and opportunities to improve efficiency and effectiveness Analyze current-state data and design future-state data models Automate business processes by configuring and customizing Microsoft SharePoint, Power Apps, and Power Automate Develop sophisticated data analytics reports using Microsoft Power BI and Tableau Analyze data to identify trends and recommend solutions to address potential issues before they arise Perform project management services including documenting meeting minutes, developing project plans, proactively identifying and mitigating risks, and communication project status to team members, senior management and executive leadership Work collaboratively with cross-functional team members to ensure issues are resolved quickly and effectively Qualifications / Experience B.A. or B.S. degree required Deep technical expertise in Microsoft Excel, SharePoint, PowerApps, Power Automate and Power BI; VBA programming skills a plus 3-to-5 years of professional work experience; experience in the life sciences, manufacturing, or other federally regulated industry a significant plus Quantitative data analysis experience Excellent verbal and written communication skills Ability to lead and motivate teammates Ability to work independently and collaboratively in a problem-solving environment Ability to efficiently and effectively provide consulting services from a remote home office Experience with lean / agile methodologies About QSE7 Founded in 2016, QSE7 offers innovative and specialized Information Technology (IT) and Consulting services to FDA-regulated life sciences companies. Our areas of focus include program/project management, process analysis, automated business process improvements, data analytics and reporting, and implementation of IT solutions based on Microsoft technologies, such as Excel, MS Teams, SharePoint, Power BI and Power Automate. We strive to bring automation and efficiency to our clients' processes by providing high-quality and intuitive solutions in an efficient, comprehensive manner.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? American Express Global Commercial Services (GCS) offers powerful backing and financial support to business clients of all sizes. The GCS Small Business Marketing team strives to provide our customers with the world's best customer experience every day to ensure that we are essential partners to our clients and win the full share of their business. The Strategic Growth & Insights team within the Small Business Customer Growth Marketing team develops integrated marketing strategies across channels delivering customer value through meaningful interactions at every touch point to drive deepened relationships and long-term engagement amongst our existing customers. We are a performance marketing team that uses data and insights to power our marketing as well as anchor to our investment optimization process to drive results and effectively optimize. The senior analyst will support the enablement of Customer Growth Marketing investment optimization routines and packages (monthly reporting, annual planning, etc.). They will bring together channel-level forecasts and results, partnering with channel marketers, analytics, finance, and investment optimization teams. Responsibilities * Develop and maintain reporting packages that clearly communicate the Customer Growth Marketing team's campaign performance, forecast accuracy, and key trends to partners and senior leadership * Collaborate cross functionally with teams across Investment Optimization, Finance, Analytics, and Marketing to ensure alignment, data consistency, and timely delivery of business-critical reporting. * Analyze performance drivers and enhance key metrics to improve understanding of campaign effectiveness, investment efficiency, and forecasting accuracy. * Transform complex data into actionable insights by identifying opportunities, uncovering performance risks, and developing recommendations that influence marketing strategy and decision-making. * Continuously improve reporting processes by standardizing methodologies, automating recurring analyses, and implementing best practices. Minimum Qualifications * Proven experience working with large and complex datasets and developing insights that inform business decisions. * Strong proficiency with analytics tools such as Excel and data query languages (BigQuery, Hadoop). * Demonstrated ability to ensure data quality, integrity, and governance across multiple systems and sources. * Strong understanding of business processes and the ability to translate analytical findings into meaningful recommendations. * Excellent collaboration and communication skills, with experience partnering across multiple teams. * Creative problem solver with the ability to work independently, manage competing priorities, and drive solutions forward. * Exceptional project management skills and attention to detail; able to juggle multiple priorities, meet tight deadlines, and operate effectively and compliantly. Preferred Qualifications * Proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to translate data into actionable insights. * Experience working with internal programs such as Liberty/TM1, and Smartbuy. * Familiarity with marketing analytics, campaign performance measurement, and forecasting methodologies. * Positive vibes, enthusiasm, and a "can-do" attitude Salary Range: $78,000.00 to $124,750.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives 6% Company Match on retirement savings plan Free financial coaching and financial well-being support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the "Know Your Rights" poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: *************************** Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Bluefish is seeking a full-stack Senior Data Scientist who thrives in fast-paced environments and is passionate about building impactful, customer-centric AI solutions. This role is ideal for someone who enjoys owning the entire data science lifecycle-from ideation to experimentation to deployment-and is motivated by driving tangible business and customer outcomes. You will work autonomously and lead your own projects, collaborating across teams while providing your own technical direction. You should be excited to hypothesize and test ideas, set up your own experiments and pipelines, and ensure that every insight and model you deliver provides real value to both the customer and the business. What You Will Be Doing: Independently lead end-to-end data science projects: from problem definition and hypothesis generation to modeling, testing, and deployment. Own your pipeline: design, build, and maintain scalable data workflows and ML systems without needing support from product and engineering teams. Drive customer-focused experimentation: design A/B tests and other experiments with a clear focus on improving user experience and product outcomes. Identify new opportunities for research and experimentation-bring forward your own ideas, test them quickly, and evaluate business impact. Collaborate cross-functionally, especially with engineering, product, and design, while taking full ownership of your project's goals, execution, and delivery. Translate data into strategy: craft clear, actionable insights that directly inform product development and company direction. Stay hands-on with cutting-edge tools and models, particularly LLMs and generative AI, and integrate them into production systems when they solve real problems. What you Bring: 5+ years of experience in data science, with a track record of leading and delivering impactful, production-level projects. Demonstrated ability to work independently: proactively identify problems, design solutions, and push projects forward with minimal oversight. Strong experience with full-stack data science: data wrangling, modeling, validation, deployment, and monitoring. Comfortable setting up your own experiments, pipelines, and direction while ensuring alignment with customer and business goals. Experience working with LLMs or generative AI in real-world applications. Proficient in Python, SQL, and ML frameworks (e.g., Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, spa Cy/NLTK). Deep understanding of experimentation techniques: A/B testing, causal inference, and how to interpret results in a business context. Ability to balance scientific rigor with business pragmatism-understanding which experiments are worth running and which aren't. Excellent communication skills and the ability to advocate for data-driven decisions across disciplines. A mindset of ownership, resourcefulness, and continuous improvement. About Bluefish: Bluefish believes that AI represents the next major chapter of the internet - and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online - and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences. The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. The company is backed by leading AI and data focused investors, including Crane Ventures, BloombergBeta, Firebolt Ventures and Laconia Capital. We are a globally distributed team, with business operations based in New York City and engineering based in Berlin. Why Bluefish & Our Values: Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry Join an experienced high-performing team where you will have immediate ownership and impact Experience a true meritocracy with significant career growth upside as the business scales Our Values: Demonstrated grit and resourcefulness-you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving environment. Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value. Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes. Commitment to craftsmanship-you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind. Self-starter with a proactive mindset and a strong sense of accountability-able to drive projects forward independently while staying aligned with team goals. Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

THE FIRM As a leading international law firm, we are dedicated to excellence through impactful communication, collaboration, and community involvement. Our company culture has earned us one of the "100 Best Companies to Work For" for 26 consecutive years. This honor, along with many others, highlights our commitment to innovation and professional development. At Alston & Bird LLP, our foundation is made of trust, reliability, and compassion. JOB DESCRIPTION About the Role We are seeking a dynamic and consultative legal technologist and Legal AI Solutions Analyst to join our Knowledge & Innovation team. The AI Solutions Analyst provides day-to-day operational support for the firm's growing portfolio of AI-enabled products. The AI Solutions Analyst translates business needs into practical workflows and copilots, builds and tests solutions, and drives adoption. Their work will focus on hands-on development within existing firm platforms and data sources to deliver measurable impact. This role is attorney facing and requires strong consultative skills and a basic knowledge of legal workflows. This role is pivotal in designing and implementing AI-powered workflows that enhance attorney productivity and client service delivery. You will work closely with legal teams to translate business needs into intelligent solutions using cutting-edge Gen AI platforms and play a key role in advancing our firm's AI initiatives. This role supports adoption and enablement efforts through frontline user support, documentation, testing, and issue tracking. The position plays a key role in capturing feedback, maintaining user-facing resources, and helping ensure a consistent and effective user experience across AI tools. The role involves regular collaboration with colleagues in Knowledge and Innovation, IT, and other departments, as well as third-party AI vendors to support solution deployment and ongoing enhancements. Key Responsibilities * Partner with attorneys and practice groups to identify and prioritize AI-driven workflow automation opportunities; translate objectives into solutions and AI agents. * Design, prototype, and deploy AI-powered workflows for tasks like document review, due diligence, contract analysis, and legal research. * Act as liaison between legal and technical teams, ensuring requirements are met and capabilities explained. * Monitor, test, and optimize AI workflows; develop reusable templates and best practices. * Provide training, documentation, and user support to drive adoption of AI tools. * Ensure compliance with ethical standards, data privacy laws, and firm policies. * Stay current on legal AI tools and recommend enhancements to maintain competitive advantage. Qualifications * Bachelor's degree required. * 2+ years in legal tech, law firm, or AI workflow design; legal background highly desirable. * Experience as a prompt engineer or in product support/business analysis with exposure to low/no-code automation * Experience as a prompt engineer in professional services, consulting, or legal environments; or as a product support specialist/business analyst with exposure to low/no-code automation. * Certifications (e.g., Microsoft Power Platform, Copilot Studio, AI Builder) preferred; otherwise, strong knowledge of Gen AI (LLMs, RAG, agentic AI). * Familiarity with platforms like Harvey, Hebbia, or similar legal AI tools; ability to learn firm-specific systems. * Basic Python or scripting skills; API familiarity a plus for future projects. * Strong problem-solving and communication skills; able to present complex data to non-technical audiences. * Consultative approach with ability to engage legal professionals and stakeholders. * Curious, self-starter, team player; proven critical thinking and decision-making under pressure. * Strong interpersonal skills; experience working with cross-functional teams. * Growth mindset to become a power user and suggest process/tool improvements. Preferred Qualifications * JD (Juris Doctor), LL.M. (Master of Laws), or professional certifications such as CP (Certified Paralegal), APC (Advanced Paralegal Certification), or PP (Professional Paralegal), combined with demonstrated interest in legal tech. * Experience working in a law firm or legal department or a legal tech company, and working knowledge of legal terminology. * Ability to manage multiple projects and prioritize effectively in a fast-paced environment. Why Join Us? * You will have an opportunity to shape the future of legal services through cutting-edge technology. You will build experience customizing and deploying AI/ML solutions in the legal sector. * You will benefit from our collaborative culture that is very supportive of professional development. The salary range for this position is $117,750 to $130,500 and represents the firm's good faith minimum and maximum range for this role at the time of the posting. The actual compensation offered to a candidate will be dependent on a variety of factors including, but not limited to, the candidates experience and qualifications. This range is specific to our NYC office and may not be applicable to other locations. EQUAL OPPORTUNITY EMPLOYER Alston & Bird LLP is an Equal Opportunity Employer does not discriminate on the bases of any status protected under federal, state, or local law. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to our recruiting, hiring, and promoting practices. The statements contained in this position description are not necessarily all-inclusive, additional duties and responsibilities may be assigned, and requirements may vary from time to time. Professional business references and a background screening will be required for all final applicants selected for a position. If you need assistance or an accommodation due to a disability you may contact *************************. Alston & Bird is not currently accepting resumes from agencies for this position. If you are a recruiter, search firm, or employment agency, you will not be compensated in any way for your referral of a candidate even if Alston & Bird hires the candidate.