Data Scientist Jobs in Corning, NY

We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines. The systematic data group is looking for a Data Scientist to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers. This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets. Principal Responsibilities Research potential alpha sources, and present to portfolio managers and quantitative analysts Utilize and maintain world-class data processing and transformation engines Build technology tools to acquire and tag datasets Engage with vendors, brokers to understand characteristics of datasets Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability Analyze datasets to generate key descriptive statistics Qualifications/Skills Required Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis 3 + years of financial industry experience preferred Programming expertise in Python, C++, Java or C# Programming skills in SQL, PL-SQL or T-SQL Strong problem-solving skills Strong communication skills

Scalata is an AI-driven finance automation platform located in New York, NY. Our vision is to democratize investment data using generative AI to empower credit decision making. We aim to drive global economic growth, foster financial inclusion, and create a positive ripple effect that empowers businesses, communities, and economies worldwide. NEW YORK ONLY BASED "NO RELOCATION OR REMOTE PLEASE DO NOT APPLY OTHERWISE " Senior Data Scientist - Generative AI - Agents and LLM developer Role Description This is a full-time on-site role for a Data Scientist specializing in Machine Learning and Artificial Intelligence with a focus on Natural Language Processing/Understanding. The Data Scientist will be responsible for tasks such as data analysis, statistical modeling, data visualization, and implementing AI models to automate the credit lifecycle. Qualifications Data Science Data Analytics and Data Analysis skills Experience in Data Visualization Strong programming skills in Python, PySpark Extensive knowledge of Machine Learning and Artificial Intelligence algorithms Highly skilled development of Agents using Langchain or other frameworks and chatbot management software development Practical knowledge and experience in building large language models Experience with Natural Language Processing Strong problem-solving and critical thinking abilities Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or related field

About the Job: As a Lead Data Scientist, you will transform complex data into actionable insights using advanced quantitative methods. You will analyze and interpret large datasets to inform business decisions, and craft compelling presentations to drive business strategy and optimize customer engagement. A Day in the Life: Provide actionable insights to stakeholders through data analysis, research, and modeling. Integrate and manage internal and external data sources, including structured and unstructured data. Develop and apply advanced quantitative methods, including statistical models and machine learning techniques. Analyze customer behavior and market trends to inform business strategies and optimize ROI. Prepare and deliver clear, insightful presentations to various audiences. Conduct multi-channel analysis, leveraging online and offline data to drive business decisions. Mentor and manage junior data scientists, guiding workflow and development. What You Will Need: Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or other natural sciences (Master's degree preferred). 5+ years of experience in open-source programming, applied statistics, and machine learning. Proven expertise in relational database management, data wrangling, and statistical analysis. Excellent communication and presentation skills, with experience presenting to upper management. Strong project and team management skills, with ability to manage workflow of 1-3 data scientists or analysts. Experience integrating data scientific modeling into data visualization platforms (e.g., Tableau, PowerBI). Ability to handle multiple projects, prioritize tasks, and adapt to changing requirements in a fast-paced environment. Our Global Benefits: My Time Off (MTO) - our flexible approach to time off that allows you to take the time you need and enjoy it! Career Progression - we offer personalized development opportunities and clear career pathways. Health and wellbeing programs that provide you access to different services and offerings to prioritize your health. Company Savings Plans to help you plan for the future. Parental Leave benefits for all new parents. Salary $110,000 - $145,000 annually. The salary range for this position is noted within this job posting. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee's/applicant's background, pertinent experience, and qualifications. About 90North ************************************* At 90NORTH, a software intelligence company, we harness proprietary software products to uncover unexpected insights and solve complex business problems. Our diverse team of solution architects, comprising social scientists, medical experts, business strategists, and creative technical designers, collaborate to help clients navigate the challenges of exploding data and AI paradigm shifts. We empower informed decision-making and drive impact through our innovative software products, including Intention Decoder and Hate Audit, which reveal the underlying motivations and sentiments behind human behavior. For U.S. Job Seekers It is the policy of IPG Health and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.

Spectrum Reach (********************** is the advertising sales division of Charter Communications. We grow businesses of all sizes with custom, multiscreen advertising solutions.The Data Science team at Spectrum Reach is a high performing and highly collaborative group of data engineers and data scientists. We build AI/ML forecast and optimization models to support our advertising sales business, and the pipelines to enable those models throughout their lifetimes. We are supported by a separate, dedicated data team that develops and maintains the ETL to bring data from source systems to the corporate data warehouse where our work starts. We deal with demanding modeling problems and vast amounts of data, with all the challenges those present, but within the context a strong and respected team where solid skills and good work are appreciated and acknowledged. If that aligns with your experience and interest, wed love to hear from you. Responsible for developing and maintaining scalable, reliable, and consistent systems that support data operations for data science, analytics, applications, and reporting by gathering and processing raw data at scale. Profiles data to measure quality, integrity, accuracy, and completeness and delivers solutions by developing, testing, and implementing code and scripts. Develops processes for data modeling, mining, and consumption. MAJOR DUTIES AND RESPONSIBILITIES Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Collaborates with data, data science and business teams to improve data models that feed AI/ML models, applications, and business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Writes unit/integration tests, contributes to engineering wiki, and documents work Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues Works closely with data scientists, frontend and backend engineers, analysts, and product managers Designs data integrations and data quality framework Identifies and evaluates open source and vendor tools for data lineage Works closely with business units and engineering teams to develop strategy for long term data platform architecture REQUIRED QUALIFICATIONS Proficiency with cloud based services Proficiency in coding/scripting and in the use of code repositories Proficiency with SQL ETL techniques and familiarity with data platforms such as Terradata, Databricks and Snowflake Proficiency dealing with big data Proficiency with data workflow/data prep platforms, such as Airflow, Infomatica, Pentaho, or Talend Basic background in Linux/Unix/CentOS or Windows installation and administration Familiarity with rest, soap, RPC, and gRPC API protocols Exposure to visualization or BI tools, such as Tableau and Looker Exposure to AI/ML libraries and tooling, such as Sklearn and TensorFlow Familiarity with agile work practices and frameworks Ability to identify and resolve end-to-end performance, network, server, and platform issues Attention to detail with the ability to effectively prioritize and execute multiple tasks PREFERRED QUALIFICATIONS Advanced knowledge of SQL and SQL optimization techniques Experience with Snowflake Experience with Airflow and with Spark Proficiency coding with Python and shell scripts, experience with GIT Proficiency in the AWS cloud environment Experience working and/or certification in SAFe Knowledge of best practices and IT operations in always-up, always-available services Experience with Tableau and/or Looker Experience in advertising sales, cable or related industries Education Degree in an engineering discipline or computer science, or related field, or equivalent work experience, Master of Science preferred. EGN620 2025-49914 2025 Here, employees dont just have jobs, they build careers. Thats why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicants criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $100,600.00 and $214,200.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, youre joining a strong community of 95,000 employees working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. Who You Are Matters Here Were committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. RequiredPreferredJob Industries Other

Salary: $125 - 200k Base + Equity & Benefits An AI-Powered Startup providing a system of intelligence for life sciences. They're building deep integrations across pharma's data systems to build a layer of artificial intelligence to power broad decision making. The goal is to index the entire universe of pharma data, empower hundred-step AI agents that will drive the next generation of pharma decision-making, and directly impact the rate of progress in both AI and human health. They're partnering with some of the biggest names in pharma and have strong early traction with a healthy pipeline to grow into. Opportunity Data is the lifeblood that powers pharma intelligence, insights, and decision-making. We need to stay up to date on the universe of events happening in pharma and as a Data Engineer you will own and lead data engineering projects including web crawling, data ingestion, data modeling, and search. You will design and build robust, scalable data pipelines to support our AI models. You'll manage databases with focus on optimizing data storage and retrieval, ensuring speed and efficiency. You'll also lead the way to designing data models that best support our users' experience and workflows. What we're looking for.. Experience with Python, Postgres SQL, and AWS A strong track record of building production ready / robust Data Pipelines Experience with multimodal processing of data, as well as chunking, embedding, and vector databases. Prior experience in a Startup environment Sound of interest? - Get in touch!

MONTICELLOAM, LLC and its affiliates (“Monticello”) is a real estate and asset-based lender providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets throughout the US. Monticello is seeking team players who can work in a collaborative environment and possess drive, integrity, creativity, compassion, and a strong work ethic. We are looking for a Technology and Data Analytics Analyst/Associate for our New York City office to support investment management teams such as originations, underwriting and asset management as well as finance, accounting, compliance, investor relations, and human resources. The Technology and Data Analytics Analyst/Associate's primary responsibilities are: Assist in the design and implementation of a data warehouse, including the setup of various data tables and flow of information from various sources into and out of the data warehouse to support analytics, dashboarding, and automated process flow Proactively analyze investment related data to answer key questions from internal and external stakeholders including executive management, investment team members, and investors Develop custom investment related reports across healthcare and multi-family real estate debt and equity Perform qualitative and quantitative research on public and proprietary data sets and technologies to develop insights, create presentations, and make actionable business recommendations Leverage AI tools to automate data entry and analysis Evaluate individual investment and portfolio performance across asset class, geography, and other segmentations to identify key trends Break complex processes down into their individual components and identify areas where data and technology can increase efficiencies, effectiveness, and scalability Sustain and oversee the data management systems critical to the firm's success. Job Requirements: Bachelor's Degree Finance, accounting, credit, legal, real estate and/or business background Established organizational skills and ability to simultaneously handle multiple projects Extensive technical skills including, iLevel, Snowflake, Tableau, Monday.com, SQL, Python Experience sourcing and analyzing data through APIs, data scraping, and database querying Ability to quickly learn new tools and technologies Interest in financing healthcare, senior housing, multi-family housing and/or renewable energy preferred Effective oral and written communication and interpersonal skills to liaise with borrowers, financing counterparties, and other external parties Advanced financial analytical proficiency along with the ability to “see the big picture” Strong grasp of logic and data analytics Passion for the firm and passion for what we do Intellectual curiosity and a desire to understand the purpose behind their work We firmly believe that the most innovative solutions arise from a diverse, collaborative environment that welcomes varied perspectives and backgrounds. We are dedicated to fostering an inclusive workplace that not only embraces differences but also empowers all individuals, providing them with opportunities to unleash their entrepreneurial spirit. We are an equal opportunity employer. This opportunity will offer a competitive base salary and performance-based bonuses. The base salary for this position falls within the range of $90,000 to $110,000 per year. The specific compensation package will be determined based on the qualifications of the selected candidate at the time of hiring. Additionally, employees may be eligible for discretionary bonuses, contingent upon their annual performance reviews.

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Architect Data Governance Dataedo Work Location USA (New York, NY) (Onsite/Hybrid) Job Description: Mandatory Skills: Informatica Axon, Informatica Data Privacy, Informatica DATA Quality, Informatica PowerCenter 7 years of experience in architecting data governance solutions Good knowledge of data governance principles practices and regulations Handson experience with Dataedo for metadata management and data lineage Ability to document maintain and manage metadata effectively Skill in tracking and visualizing data flow and transformations Strong interpersonal skills for collaborating with stakeholders and providing training Desirable: Certification in Data Governance Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

Key Responsibilities: Collaborate with various management teams to ensure proper integration of functions to achieve goals and identify necessary system enhancements for new products and process improvements. Address a variety of high-impact problems/projects through detailed evaluation of complex business and system processes, as well as industry standards. Provide expertise in applications programming and ensure that application design aligns with the overall architecture blueprint. Utilize advanced knowledge of system flow to develop standards for coding, testing, debugging, and implementation. Develop a thorough understanding of how different business areas, such as architecture and infrastructure, work together to achieve business objectives. Conduct in-depth analysis with interpretive thinking to identify issues and develop innovative solutions. Act as an advisor or coach to mid-level developers and analysts, assigning work as needed. Assess risks appropriately when making business decisions, ensuring compliance with applicable laws, rules, and regulations, adhering to policies, applying sound ethical judgment, and managing and reporting control issues transparently. Qualifications: 6-10 years of relevant experience in application development or systems analysis, with expertise in Pyspark, SQL, and Python. Extensive experience in system analysis and software application programming. Proven track record in managing and implementing successful projects. Subject Matter Expert (SME) in at least one area of application development. Ability to quickly adjust priorities as needed. Demonstrated leadership and project management skills. Clear and concise written and verbal communication skills. Education: Bachelor's degree or equivalent experience. Desired Skills and Experience Python SQL Pyspark Data Architecture Application Development

Our large digital transformation company is seeking a talented and experienced Data Engineer to join our team, specializing in Databricks and the financial industry. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data pipelines and infrastructure through data bricks to support financial clients' data-driven initiatives. Key Responsibilities Include: - Architect and design end-to-end data solutions using Databricks to process and analyze large-scale financial data. - Collaborate with stakeholders to understand business requirements and translate them into technical solutions. - Develop and implement data integration, transformation, and validation processes to ensure data accuracy and consistency. - Lead the development and optimization of ETL pipelines to ingest data from various sources into data lakes and warehouses. - Ensure the reliability, performance, and scalability of data architectures. Must haves: 7+ years in data architecture helping to design solutions within financial industry Strong proficiency in SQL, Python, and Spark Deep understanding of data warehousing concepts and technologies (e.g., Snowflake, Redshift). Databricks Certified

The Principal Data Consultant is expected to participate in complex and multidisciplinary data and BI projects. You will be working with our consulting team designing, implementing, and deploying data centered solutions to a wide variety of clients across industry verticals and products. Candidates for this role should possess knowledge of the Data integration, DW and BI capabilities (both functional and technical). Candidates should have experience migrating & integrating data between different platforms and can act as a knowledgeable liaison with business stakeholders and project teams. Additionally, the candidate should have the ability to uncover business requirements, develop a technical strategy and be able to create and effectively demonstrate solutions that address customer requirements. This is a hybrid role that will require travel into the Mumbai office twice a week starting in the first half of 2025. Responsibilities Include: Synthesize information to produce impactful visual presentations that assist decision-makers Support the build of Data Warehouses, Data Marts and Operational Data Stores Identify data needs, providing guidance on how to extract, transform and load data, and recommend approaches to integrate with master data Collaborate with project team for data migration testing and resolving defects Produce highly detailed document artifacts and maintain them for the duration of projects Be able to translate functional specifications into ETL packages for Data integration/migration Perform data profiling and analysis. Develop data lineage and source to target mapping Partner with the client for data extraction and cleansing Conduct data mapping , data loading and create release management plans for complex migrations Provide input and feedback regarding ETL processes. Demonstrate ability to learn and research advanced data technologies and concepts, learning new skills and software as necessary Basic Qualifications: Requires Bachelor's degree in Computer Science, Software Engineering, Management Information Systems, or a related field, plus five years of experience with Salesforce development or equivalent combination of education and experience 8+ years' experience in data engineering working on different BI and ETL tools Proficient with BI Analytics applications like Tableau, PowerBI, Cognos, etc Hands on experience with ETL tools like SSIS, Informatica, Talend, etc Hands on experience with Data Warehouse tools like Snowflake, Amazon Redshift etc Experience with database systems (MS SQL, Oracle, MySQL, etc.) and query languages (T-SQL, PL/SQL, etc.) Exposure in data extraction, transformation, and data loading techniques Experience creating and using Entity Relationship and Data Flow diagrams to communicate complex migration and transformations to clients Experience with the complete software project lifecycle, recognizing the importance of data conversion and the time commitment involved Must have experience working in projects with Agile Management process Experience working with Salesforce CRM and Netsuite ERP systems is desirable Passion for data accuracy and completeness Can work in a fast-paced, fast-growth environment and manage priorities across multiple concurrent activities #J-18808-Ljbffr

The Data Quality Analyst (VP level) will play a pivotal role in coordinate the integrity, accuracy, and reliability of data across Natixis CIB Americas businesses and in line with Head Office processes. This position is responsible for developing, implementing, and overseeing technical data quality frameworks, methodologies, and tools to enhance our data assets, re-using Head Office solution where possible. The Data Quality Analyst will collaborate with the businesses to assist on identifying data quality issues, design solutions, and promote best practices in data management. He/she/they will have the following responsibilities: Framework Development: Design and implement a comprehensive technical data quality framework that includes data profiling, data validation, data cleansing, and monitoring processes, capitalizing first on head office approach. Data Quality Tools: Evaluate, select, and manage data quality tools and technologies that facilitate automated data quality assessments and remediation processes. Issue Resolution: Collaborate with data engineers and analysts to identify data quality issues, analyze root causes, and develop actionable remediation plans. Data Quality Metrics: Establish and monitor key performance indicators (KPIs) and metrics to assess data quality, providing regular reporting to stakeholders on data quality status and improvement efforts. Collaboration: Work closely with cross-functional teams, in the Americas platform and Head Office, including data governance, data architecture, and business intelligence, to ensure alignment on data quality initiatives and standards. Technical Documentation: Assist the business to create and maintain detailed documentation of data quality processes, data lineage, and metadata to support transparency and compliance. Training and Support: Provide training and guidance to technical staff on data quality best practices, tools, and methodologies, fostering a culture of data stewardship within the organization. Continuous Improvement: Stay up-to-date with industry trends, emerging technologies, and best practices in data quality management, continuously enhancing the organization's data quality capabilities. Requirements: Bachelor's degree in computer science, Information Technology, Data Management, or a related field; 5+ years of experience in data quality management, data engineering, or a related technical field, preferably within the financial services industry. Experience using the IDQ (Informatica Data Quality) suite and Informatica Power Center for development and reporting; Experience on alternative solution is welcomed and should be demonstrated. Deep knowledge of data quality processes, approaches, measurement techniques, and business cases including Profiling, cleansing, standardization and Match/Merge; Demonstrated experience implementing Informatica's Data Quality components (rules, glossaries, scorecards); Natixis is an equal opportunity employer, committed to a workplace free of discrimination. Natixis will not tolerate any form of discrimination based on age, color, mental or physical handicap or disability, pregnancy, marital status, sexual orientation, national origin, alienage, ancestry or citizenship status, race, religion, sex (including sex stereotyping, gender identity, gender expression or transgender status), veteran status, creed, genetic information or carrier status, or any other protected characteristic as established by law. Respect for all means that we deal with each person as an individual and not as a member of any group. All qualified applicants will receive consideration for employment. Management is expected to provide leadership in supporting the firms EEO program by taking steps to promote EEO in all facets of employment including recruitment, hiring, retention, promotion, performance assessment, and career-development opportunities. The salary range for this position will be between $140,000 - $175,000. Natixis is required by law to include a reasonable estimate of the compensation range for this role. Actual base salary will vary and will be based on several factors including, but not limited to, relevant experience, education, skills set, applicable licensure and certifications, and other business and organizational needs. Base salary is only one component of our total rewards package. Natixis also offers a generous benefits package, and you may be eligible for a discretionary incentive award depending on company and individual performance.

Lead Data Engineer, Data ReliabilityJob ID 10103077 Location Santa Monica, California, United States / Bristol, Connecticut, United States / San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States Business Disney Entertainment & ESPN Technology Date posted Jan. 21, 2025Job Summary: On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. We seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. Assist in designing and developing a platform to support incident observability and automation. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure. Build solutions to continually improve our software release and change management process. Minimum Qualifications: 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake. Expertise with common Data Engineering languages such as Python, Scala, Java, SQL. Experience with workflow orchestration tools such as Airflow. Deep understanding of end-to-end pipeline design and implementation. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. #DISNEYTECH #J-18808-Ljbffr

You will create a groundbreaking data science system for our hedge fund, playing a critical role in taking our business to the next level. We currently use both industry-standard and proprietary tools. Now is the time to create something that goes beyond industry average which is more powerful and flexible than our current proprietary technology. This is a true greenfield project. You will work with the President and Managing Director to specify functionality for this foundational initiative. You will have a significant say in selecting the right tools for this task: language, libraries, development environment, etc. Your ability to create effective software, combined with your gift for architecture and design, will enable us to create a system that provides advanced functionality, good performance, and most important, extensibility into the future. You will be integral in bringing up a new system that will ultimately have an impact on facilitating research, developing new strategies, portfolio management, and trading. You can have immediate impact on our firm along with expansive personal development and transformational contributions in the long run. For that reason, starting compensation is high, and the upside is even more promising as your system produces for the team. We do not require past experience with finance, trading systems, or even private enterprise. Our primary requirement is true world-class software skill. This position requires a PhD and knowledge of computer science. Compensation will be industry-leading for the right candidate. Company Description The next-generation hedge fund. For over a decade, our outstanding people, many of whom have PhDs, have been developing the next generation of technologies, ideas, and strategies. We have been highly successful because of both our technically superior strategies and our brilliant people. We have a close-knit group, distinguished by their interest in our shared success, half of whom are graduates from Harvard, MIT, and Cornell. This lucrative synthesis of human and machine cognition in an intellectually rich, supportive environment is at the core of our firm. We use high-performance real-time systems in a Linux environment. We have experience with H-1B and green card sponsorship, and visa status is not a constraint. All submissions kept confidential. ***************

The Performance and Risk Analyst will play a critical role in monitoring, analyzing, and reporting on the performance and risk metrics of [Firm Name]'s diverse investment strategies. This role requires a blend of quantitative expertise, technical skills, and a strong understanding of financial markets. The ideal candidate will have 1-2 years of experience in performance and risk analysis, coupled with strong Python and SQL programming skills. Key Responsibilities Measure and evaluate the performance of various investment strategies, identifying key drivers and trends. Develop and maintain risk metrics and dashboards to provide insights into portfolio exposures, VaR, stress tests, and other risk factors. Extract, clean, and manipulate large datasets from multiple sources to support performance and risk analysis. Prepare detailed performance and risk reports for internal stakeholders, including portfolio managers, risk committees, and senior leadership. Develop tools and scripts in Python and SQL to automate data processing, analysis, and reporting workflows. Conduct ad hoc analyses to support decision-making, including scenario analysis, portfolio optimization, and risk attribution. Work closely with portfolio managers, data scientists, and risk teams to align on methodologies and enhance analytical frameworks. Key Qualifications 1-2 years of experience in performance analysis, risk management, or a related field within an asset management, hedge fund, or financial services environment. Proficiency in Python and SQL is essential. Experience with data visualization tools (e.g., Tableau, Power BI) and statistical packages is a plus. Bachelor's degree in Finance, Economics, Computer Science, Mathematics, or a related field. Advanced degrees or certifications (e.g., CFA, FRM) are advantageous. Strong analytical and quantitative abilities, with experience in statistical modeling, portfolio analysis, and risk metrics. Excellent written and verbal communication skills, with the ability to present complex analyses clearly to non-technical stakeholders. High level of accuracy and attention to detail in handling data and reporting. A proactive approach to identifying and solving problems, with the ability to work independently and manage multiple priorities. Solid understanding of financial markets, investment strategies, and risk management concepts.

Role: Data Analyst III Duration: 8-month contract on W2 (potential extension) Data Analysts drive how the UX Research function is powered at our client by empowering Research leaders to integrate business data into their daily decisions as well as longer-term investments. The Data Analyst role in the team will work alongside UX Researchers, Research Program Managers, and Research leaders to identify, track, and solve issues that advance the efficiency. The ideal candidate will have strong consultative, communication, analytical, data/dashboard building, and storytelling skills and will thrive managing concurrent projects while working with a cross-functional team to drive outcomes. We are looking for someone who enjoys building, figuring out the best way to achieve results, and working closely with a diverse set of teams. We need someone who enjoys operating in ambiguity and who uses creativity to combat challenges. 4-6 Years of Experience in Data Analytics Day-to-Day Responsibilities: Connect global data and strategies to functional data in order to create team-specific analytics and reporting. Support Research Operations teams in translating their goals for the business into reliable metrics; work with program leaders to identify the best KPIs for their respective teams. This may involve mapping existing data to program goals or advocating for the building of new data channels. Act as an internal consultant by understanding business needs, scoping data requests, synthesizing insights, and recommending solutions to managers in collaboration with relevant cross-functional teams. Apply expertise in quantitative analysis and the presentation of data to see beyond the numbers and create actionable recommendations. Manage multiple concurrent projects that require inputs from cross-functional stakeholders while balancing impact on business needs. Deliver analytical results to technical and non-technical audiences and partner with them to identify the right actions. Leverage tools, such as SQL, Tableau, Salesforce Tableau CRM (fka Einstein Analytics) and Excel to build and drive analytics and to enable client self-service on routine queries, as well as to design/run/deliver ongoing reporting and dashboards. Must-Have Skills: Tableau - 2-3 years of experience Salesforce - Einstein Analytics or something similar SQL Minimum Qualifications: BA/BS with 4+ years (or master's with 3+ years) of data analytics experience focused on using data to uncover insights Strong project management skills, experience creating project plans and business requirement documents Strong relationship management; knows how to work with people well but also work autonomously Advanced experience building dashboards in Tableau and knowledge of data visualization best practices Advanced experience in SQL or other programming languages Intermediate experience with Salesforce CRM Analytics (fka Einstein Analytics) dashboards and reporting (e.g., managing recipes, building new data sets, maintaining/building dashboards), Salesforce Tableau CRM Experience gathering and interpreting data Experience influencing stakeholders using data Preferred Qualifications: Advanced experience in Salesforce Tableau CRM (e.g., managing recipes, building new data sets, maintaining/building dashboards) Knowledge of statistical analysis (e.g., descriptive statistics and knowledge of statistical significance) Experience working on a product operations/support function in big tech or other large companies.

IntePros Inc is looking for a Business Intelligence Engineer (BIE) to be a key partner in driving insights and reporting that support our growing suite of advertising products. As a BIE, you will extract value from large and complex data sets, influence business decisions, and support the evolution of products. You will play a crucial role in streamlining metric reporting for our operating cadences, such as daily, weekly, and monthly business reviews. The ideal candidate is a self-starter who thrives in ambiguity, takes ownership of initiatives, and has a bias for action in delivering business impact through data analytics. You will work closely with internal and external stakeholders, balancing independent work with collaboration in a highly communicative, office-based team environment. Key Responsibilities: Own the design, development, and maintenance of ongoing metrics, reports, dashboards, and analyses to drive key business decisions. Recommend new metrics, techniques, and strategies to improve team performance and future measurement. Define data elements and data structures to enable analytical and reporting capabilities for business development teams. Design and implement operational best practices for reporting and analytics, enabling scalability. Prepare and present business reviews to senior management, highlighting progress and roadblocks. Work with engineering teams and data warehouses to capture and store key data points effectively. Aggregate data from multiple sources and deliver it in a digestible, actionable format for decision-making. Participate in strategic and tactical planning discussions. Daily Responsibilities: ETL processes - Data manipulation, transformation, ingestion from internal ad sales sources. Prepare data marts and support Tableau dashboards for finance teams. Focus on maintaining and enhancing ~2 Tableau dashboards while collaborating with the team. Participate in LCSUS organization stakeholder engagement (~90% core stakeholder). Attend biweekly/weekly business review calls with leadership. Work independently on assigned tasks with structured team collaboration and prioritization meetings every other day. Less involvement in deep data dives or dashboard feature development-focus on refining existing dashboards and integrating new data. Qualifications: SQL - Ability to retrieve, manipulate, and optimize large datasets. Tableau experience - Building, maintaining, and enhancing dashboards for business insights. Strong communication skills in a data-driven environment (data mart design, analytics). Preferred: Bachelor's Degree in Math, Statistics, Computer Science, or Marketing. Master's Degree preferred. Experience working with advertising analytics, finance teams, and internal stakeholders.

Job Title: Snowflake Data Engineer / Snowflake Admin/Data Analyst Job Summary: The Snowflake Data Engineer is responsible for designing, implementing, and optimizing data solutions using the Snowflake Data Cloud platform. This role involves managing Snowflake environments, ensuring data security, and performing data analysis to support business decision-making. This role will require the individual to be able to function effectively as an Snowflake administrator as well as a be able to produce insights that will help with the management and growth of the business. Key Responsibilities: Database Management: Configure and maintain Snowflake environments, including warehouses, databases, and other objects. Ensure optimal performance and cost-efficiency. Data Security: Implement and manage security measures within Snowflake, including data encryption, access controls, and network policies. Ensure compliance with data protection regulations. Data Integration: Develop and manage data pipelines to extract, transform, and load (ETL) data into Snowflake from various sources. Performance Optimization: Monitor and optimize the performance of Snowflake environments, including query performance tuning and resource management. Data Analysis: Perform detailed data analysis using Snowflake to identify trends, patterns, and insights. Develop and maintain dashboards, reports, and visualizations. Collaboration: Work closely with cross-functional teams to understand data requirements and deliver insights. Provide technical support and training to users on Snowflake features. Documentation: Document database schemas, configurations, procedures, and best practices. Maintain data catalogs and dictionaries. Cost Management: Monitor and optimize Snowflake credit usage to control costs without compromising performance. Qualifications: Education: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field. Experience: 3-5 years of relevant professional experience as a Data Engineer, Database Administrator, or Data Analyst, preferably with experience in Snowflake. Skills: Strong proficiency in SQL and data analysis tools. Familiarity with Snowflake's architecture and features. Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R) is a plus. Certifications: Relevant certifications in data engineering, database administration, or Snowflake are advantageous such as “SnowPro Advanced: Data Analyst” Preferred Attributes: Strong analytical and problem-solving skills Excellent communication and collaboration skills Ability to work independently and as part of a team Attention to detail and a commitment to data accuracy Supporting system documentation and workflow diagrams

See yourself at Radian? We see you here too. At Radian, we see you. For the person you are and the potential you hold. That's why we've embraced a new way of working that lets our people across the country be themselves, be their best and be their boldest. Because when each of us is truly seen, each of us gives our best - and at Radian, we'll give you our best right back. Studies have shown that job seekers may hesitate to apply for jobs unless they meet every single qualification listed. We strive to see the potential in each applicant, so if you're excited about this role but your experience or education level doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. See Yourself as a Data Scientist II The Data Scientist II, primary function is estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This requires the use of statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Models will be applied to estimate mortgage insurance cash flows including claim incidence, claim severity, required capital, expected premium, return on equity, existing mortgage insurance policy attrition, and new insurance policy acquisition. The position requires the Data Scientist II to research, develop and make recommended changes to existing models and new models. Cash flow valuation of primary mortgage insurance policies, structured mortgage insurance policies, mortgage-backed derivatives, reinsurance, and other risk-transfer transactions are also within the position's scope of analysis. Additional responsibilities may include supporting economic scenario simulation, economic capital, and portfolio optimization. Responsibilities include leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights. The position requires the ability to effectively communicate technical findings and recommendations to nontechnical managements teams. Primary Duties and Responsibilities: Delinquency, default, prepayment, claim severity model estimation and design. Programming in support of model estimation, implementation, monitoring, and back testing Creation of analytical presentations and communication of strategic business findings to management Analysis and recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk as appropriate and necessary. Data manipulation of large files (R, Python, or SAS datasets) to identify trends and make recommendations and/or adjustments to credit/portfolio guidelines as necessary. Model development and methodology research Perform other duties as assigned or apparent. Qualifications: Strong understanding of probability modeling. Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment. Knowledge in SAS, R, C++ or python for data analysis and modeling. Experience leveraging AWS based applications and resources (EC2, EMR, S3, Lambda, Jupyter Notebook, Zeppelin, Spark) is desirable. Expert mathematical, statistical, and econometric knowledge. Strong understanding of financial analysis of structured mortgage products. Experience leveraging cloud computing. Able to work in a team environment. Able to effectively summarize and communicate relevant findings and other information. Education, Certifications and Prior Work-Related Experience: Degree Requirement: Bachelor's degree or foreign equivalent and 3 years of experience Degree Preferred: Master's degree or foreign equivalent and 1 years of experience. Certifications: Quantitative Field See Your Location Radian is committed to a flexible work environment for many of our roles. This role is hybrid (3 days on site) and will provide you the flexibility to work at our New York City office and at your designated * Work From Anywhere * location each week. * Work From Anywhere is subject to Radian's Alternative Work Policy and business needs See Why You Should Work With Us Competitive Compensation: anticipated base salary from $96,450 to $137,700 based on skills and experience. This position is eligible to participate in an annual incentive program. Rest and Relaxation. This role is eligible for 25 days of paid time off annually, which is prorated in the year of hire based on hire date. In addition, based on your hire date, you will be eligible for 9 paid holidays + 2 floating holiday in support of our DEI culture. Parental leave is also offered as an opportunity for all new parents to embrace this exciting change in their lives. Our Company Makes an Impact. We've been recognized by multiple organizations like Bloomberg's Gender-Equality Index, HousingWire's Tech 100, and The Forum of Executive Women's Champion of Board Diversity. Radian has also pledged to PwC's CEO Action for Diversity & Inclusion commitment. Comprehensive Health Benefits. Multiple medical plan choices, including HSA and FSA options, dental, vision, and basic life insurance. Prepare for your Future. 401(k) with a top of market company match ( did we mention the company match is immediately vested?! ) and an opportunity to participate in Radian's Employee Stock Purchase Plan (ESPP). Homebuyer Perks. Our Homebuyer Perks program helps employees navigate the home searching, buying, selling, and refinancing processes and provides valuable financial benefits to encourage, enable, and support home ownership. Additional Benefits. To learn more about our benefits offerings, visit our Benefits Page. #LI-NA The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Radian will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. See More About Radian Radian is a fintech servicing the mortgage and real estate services industry. As a team, we pride ourselves on seeing the potential of every person, every idea and every day. Seeing each other at Radian goes far beyond our open, flexible culture. It means seeing our people's potential - and creating inspiring career paths that help them get there. Or seeing new pathways and innovating for the future of our industry. It means seeing each other for all that we are. And it means seeing our purpose as one that extends beyond the bottom line - having an impact on communities across the country to help more people achieve the American Dream of homeownership. We hope you'll see yourself at Radian. See more about us at Radian.com. Defining Roles for Radian's Future Understanding the qualities and characteristics that define a Leader and an Employee is important to building our future-fit workforce. Radian's future is only as bright as its people. For that reason, our People Plan includes profiles to support the qualities and characteristics that each Leader as well as each Employee should embody upon hire or via development. EEO Statement Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. All qualified applicants will receive consideration for employment without regard to gender, age, race, color, religious creed, marital status, gender identity, sexual orientation, national origin, ethnicity, ancestry, citizenship, genetic information, disability, protected veteran status or any other characteristic protected by applicable federal, state, or local law. Equal Opportunity Employer Details To learn more about Radian's Code of Conduct and Ethics and workplace conduct, please click [here]. Radian participates in E-Verify [Link] (en español [Link]). Learn more about your rights under immigration laws [Link] (en español [Link]). View the "Know Your Rights: Workplace Discrimination is Illegal" poster [Link]. View “Employee Rights under FMLA” [Link]. View “Employee Rights under EPPA" [Link]. View Pay Transparency Nondiscrimination Provision [Link]. Accommodation Whether you require an accommodation for the job application or interview process, Radian is dedicated to a barrier-free employment process and encourages a diverse workforce. If you have questions about the accommodation process, please e-mail ******************. Please note that you may redact or remove age-related information that identifies your age, date of birth, or dates of attendance at or graduation from an educational institution on any additional application materials you submit as part of the application. Additional application materials include but are not limited to, resumes, CVs, transcripts, or certifications.

Education: BS in Computer Science. (Manager will not accept candidates that do not meet this minimum requirement. Requires a background in business intelligences, database priciples, programming fundamentals, SQL, .net, Oracle, VB Net,, hardware/software, operating systems and network knowledge. Required 5 - 10 years of experience. Software Developer for IMS (Integrated Manufacturing Systems) projects and Integration of MES systems with manufacturing control and business systems projects at Corning Manufacturing Facilities world-wide is preferred. MES systems are defined as the systems which bridge the gap between the real-time control of the manufacturing process and the business systems. (e.g. defect collection, production reporting, recipe management, maintenance management and product measurements.) Responsible for designing, developing, troubleshooting and debugging software programs. Thoroughly follow structured Software Development practices to ensure fast and efficient systems completion Develop excellent process understanding of Corning's manufacturing processes in order to better understand the customer's requirements. This is a position that requires strong technical curiosity, and the ability to interact with various levels of the organization. This is a project based need and assignment has potential to be longer than posted dates. Must haves: * Independent thought process * Minimum BS in Computer Science * Experience in data mining/analytics * Experience with SQL, .net, Oracle, VB net Additional Information All your information will be kept confidential according to EEO guidelines.