Data scientist jobs in Fort Worth, TX - 926 jobs

The Principal Data Consultant works in partnership with Product Management, Sales, Customer Support, Order Management, Data Delivery centers, and other cross-functional groups to define and document requirements for standard and custom data products, and to further provide analytical and liaison support to the delivery of sustainable and streamlined data solutions. The **hybrid-remote** PrincipalData Consultant leverages both data and client knowledge to define and align customer requirements to data extract specifications and deliverables while providing support to account executives and product managers regarding the applicability of CoreLogic data to business use cases.* Facilitate discovery of business requirements from client's perspective, translated into specifications which will deliver the right mix of data elements to enable clients to make timely and insightful decisions* Collaborate with clients and internal stakeholders to ensure data needs are well understood* Gather requirements from internal and external stakeholders to write extract specifications that meet client's needs* Define user stories and requirements and conduct research / analysis in support of developing standardized layouts and packages to meet requirements* Write detailed descriptions of user needs (including acceptance criteria) for the development of custom data extracts, or (preferentially) new standard data products* Validate specifications with internal and external stake-holders to ensure they are consistent with articulated business requirements and deliver the expected results* Coordinate issue resolution across multiple teams* Bachelor's degree in Business Administration, Computer Science, relevant discipline, or equivalent experience.* Typically has 10+ years of Business/Process Analyst or directly related experience in the same or related industry* Excellent written and oral communication skills* Ability to translate business requirements into complete and deliverable specifications·* Excellent organizational and project management and facilitation skills. Ability to prioritize and handle multiple concurrent projects* Excellent interpersonal skills for interacting with/influencing cross-functional teams and gaining consensus. Strong listening and question-based knowledge gathering skills* Ability to synthesize and analyze data from a variety of sources, identify issues, draw conclusions, and craft solutions* Experience working as a member of a distributed team. Ability to organize and coordinate with stakeholders across multiple functions and geographic locations* Domain knowledge covering one or more aspects of the real estate economy (mortgage servicing, property insurance, credit, etc)* Experience authoring SQL queries.* Familiarity with diverse coding, profiling, and visualization approaches including Python, Tableau, and Google Cloud* Extensive knowledge of client base, product, and data offerings* Understanding of Big Data, Cloud, Machine Learning approaches and concepts Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. Please navigate to "location" and filter on desired country under the "locations". ex: United States, Canada, United Kingdom, India# We have some exciting news to share with you, CoreLogic will now be called Cotality! Our new brand reflects our commitment to delivering innovative solutions and building deep relationships.Speaking of fresh starts-if you're thinking about making a change, and you're someone who wants to work for a growing company with a people-first culture which has earned us Great Place to Work recognitions in six countries, apply today!Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.If you need reasonable accommodation to complete the on-line application, please contact Talent Acquisition at ******************** or **************.Please include the following information in your email:The specific accommodation you're requesting to complete an employment application the position you are applying for (job title and/or job number)********************. Please allow up to three business days to receive a response.Please include the following information in your email:*Your organization's name**Organization's location(s)**Brief description of your need*Cotality is aware of schemes involving fraudulent job postings on third-party employment search sites and/or individual(s) or entities claiming to be employees of Cotality. Those involved are offering fraudulent employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Cotality or a Cotality recruiter, please contact Cotality at ********************.* Please be advised that all legitimate correspondence from a Cotality employee will come from "@Cotality.com" or "@CoreLogic.com" email accounts.* Cotality will not **interview** candidates via text or email. Our interviews will be conducted by recruiters and leaders via the phone, zoom/teams or in an in-person format.* Cotality will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.Please click to view the Cotality Applicant Privacy Statement.By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Senior Data Engineers, who are passionate about marrying data with emerging technologies. As a Capital One, Senior Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Python, Java, Scala, and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Data Engineer Plano, TX: $147,100 - $167,900 for Senior Data Engineer Richmond, VA: $147,100 - $167,900 for Senior Data Engineer Wilmington, DE: $147,100 - $167,900 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

This is a Full Time Direct Hire Permanent Role No C2C No Sponsorship We are seeking Data Engineers to support a critical migration project from SQL Server to Azure Synapse Analytics. This role combines data engineering, data analysis, and visualization responsibilities to ensure a smooth transition and optimized data architecture. Key Responsibilities Design, develop, and implement data pipelines to migrate data from SQL Server to Azure Synapse Analytics. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Optimize data models and queries for performance and scalability in Azure Synapse. Perform data analysis and validation to ensure accuracy and integrity during migration. Develop dashboards and reports using Power BI for business insights. Work with Microsoft Fabric to integrate and manage data workflows. Ensure compliance with data governance and security standards. Required Skills & Qualifications Strong experience with SQL (query optimization, stored procedures). Proficiency in Python for data processing and automation. Hands-on experience with Apache Spark for big data processing. Expertise in Azure Synapse Analytics and familiarity with Microsoft Fabric. Experience building and maintaining Power BI dashboards. Solid understanding of data warehousing concepts and ETL processes. Preferred Qualifications Experience with cloud-based data architecture and migration projects.

8+ years (with strong hands-on Azure Data Factory and PL/SQL experience) We are looking for a highly skilled Azure Data Engineer with deep expertise in Azure Data Factory (ADF) and PL/SQL to design, build, optimize enterprise-scale data integration and transformation solutions. The ideal candidate will work closely with business, analytics, and architecture teams to deliver reliable, scalable, and high-performance data pipelines. Design, develop, and maintain ADF pipelines for batch and incremental data loads Implement ETL/ELT workflows using ADF activities such as Copy, Data Flow, Lookup, ForEach, and Web activities Integrate ADF with Azure Data Lake Storage Gen2, Azure Blob Storage, Azure SQL, Synapse Analytics, and on-prem systems Develop and optimize PL/SQL stored procedures, packages, functions, and triggers Write complex SQL queries involving joins, subqueries, analytics functions, and performance tuning Perform query optimization using indexes, execution plans, and partitioning strategies.

Required Qualifications: 9+ years' experience and hands on with Data Warehousing. 9+ years of hands on ETL (e.g., Informatica/DataStage) experience 3+ years of hands-on Big query 3+ years of hands on GCP 9+ years of Teradata hands on experience 9+ years working in a cross-functional environment. 3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage 3+ years of hands-on experience building modern data pipelines with GCP platform 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management 3+ years of experience with SQL, NoSQL 3+ years of experience in data engineering with a focus on microservices-based data solutions 3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline 3+ years of experience with Python (or a comparable scripting language) 3+ years of experience with Big data and cloud architecture 3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,) Excellent oral and written communications skills; ability to interact effectively with all levels within the organization. Working knowledge of AGILE/SDLC methodology Excellent analytical and problem-solving skills. Ability to interact and work effectively with technical & non-technical levels within the organization. Ability to drive clarity of purpose and goals during release and planning activities. Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail.. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Immediate need for a talented Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Dallas, TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:26-00480 Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and optimize end-to-end data pipelines using Python and PySpark Build and maintain ETL/ELT workflows to process structured and semi-structured data Write complex SQL queries for data transformation, validation, and performance optimization Develop scalable data solutions using Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks Ensure data quality, reliability, and performance across data platforms Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements Implement best practices for data governance, security, and compliance Monitor and troubleshoot data pipeline failures and performance issues Support production deployments and ongoing enhancements Key Requirements and Technology Experience: Must have skills: Data Engineer, Azure, Python, PySpark Strong proficiency in SQL for querying and data modeling Hands-on experience with Python for data processing and automation Solid experience using PySpark for distributed data processing Experience working with Microsoft Azure data services Understanding of data warehousing concepts and big data architectures Experience with batch and/or real-time data processing Ability to work independently and within cross-functional teams Experience with Azure Databricks Knowledge of data modelling techniques (star/snowflake schemas) Familiarity with CI/CD pipelines and version control tools (Git) Exposure to data security, access control, and compliance standards Experience with streaming technologies Knowledge of DevOps or DataOps practices Cloud certifications (Azure preferred) Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. 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. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Have you ever enjoyed Arnold, Brownberry or Oroweat bread? A Thomas' English muffin or bagel? Or perhaps snacked on a Sara Lee, Entenmann's or Marinela cake or donut? If the answer is yes, then you know Bimbo Bakeries USA! More than 20,000 associates in bakeries, sales centers, offices and on sales routes work to ensure our consumers have the freshest products at every meal. In addition to competitive pay and benefits, we provide a safe and inclusive work environment that appreciates diversity, promotes development and allows our associates to be their authentic selves. #LI-SO1 Come join the largest baking company in the world and our family of 20,000 associates nationwide! Top Reasons to Work at Bimbo Bakeries USA: Salary Range: $91,500 - $119,000 Comprehensive Benefits Package Annual Bonus Eligibility 401k & Company Match Position Summary: BBU is seeking a motivated Data Scientist to join our growing data science team. In this role, you'll work alongside experienced data scientists to develop analytical solutions, build predictive models, and extract insights from complex datasets. This is an excellent opportunity for early-career professionals to gain hands-on experience with real-world data science applications while contributing to business-critical projects. You'll receive mentorship, professional development, and exposure to cutting-edge technologies in a collaborative environment. KEY RESPONSIBILITIES: Data Analysis & Exploration * Clean, transform, and analyze large datasets to identify patterns and trends * Perform exploratory data analysis (EDA) to understand data quality and characteristics * Create data visualizations to communicate findings to stakeholders * Document data sources, methodologies, and analytical approaches. Model Development & Implementation * Build and test predictive models using supervised and unsupervised learning techniques * Assist in feature engineering and selection for machine learning models * Perform model evaluation using appropriate metrics and validation techniques * Support deployment of models to production environments Data Pipeline & Automation * Develop and maintain data pipelines for model training and scoring * Write clean, efficient, and well-documented code in Python and SQL * Automate repetitive data processing tasks * Follow software development best practices including version control (Git) REQUIRED QUALIFICATIONS Education * Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Engineering, or related quantitative field * Master's degree preferred but not required Experience * 4 years of data science or analytics experience (internships, projects, or academic research count) * Demonstrated experience through personal projects, Kaggle competitions, or open-source contributions * Exposure to real-world datasets and problem-solving Technical Skills Programming: * Python: pandas, NumPy, scikit-learn, matplotlib/seaborn * SQL: Writing queries, joins, aggregations, and basic optimization Machine Learning: * Supervised learning: Linear/logistic regression, decision trees, random forests * Unsupervised learning: K-means clustering, PCA * Understanding of model evaluation metrics (accuracy, precision, recall, F1, RMSE) * Familiarity with train/test splits and cross-validation Statistics & Mathematics: * Descriptive statistics (mean, median, standard deviation, distributions) * Probability concepts and statistical inference * Hypothesis testing and confidence intervals * Basic understanding of experimental design Data Tools: * Jupyter Notebooks or similar interactive development environments * Version control with Git/GitHub * Data visualization tools (matplotlib, seaborn, Plotly) * Basic SQL database querying Other: * Strong problem-solving and analytical thinking skills * Attention to detail and commitment to data quality * Ability to learn quickly and adapt to new technologies Physical Demands: The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be requested to enable individuals with disabilities to perform the essential functions. Bimbo Bakeries USA is an equal opportunity employer with a policy that provides equal employment opportunity for applicants and employees regardless of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, any other classification protected by law. 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.

Role: Staff Data Scientist ( This is a Senior role) Join Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily. Collaborate closely with sales, product, and engineering teams to spearhead the design and implementation of cutting-edge retail solutions. Helps the team get better technically, mentors junior associates, and keeps customer success in focus, in particular: * Is responsible for designing, developing, and testing new algorithms, models, or solving approaches based on machine learning, operation research, or * other techniques to solve a Blue Yonder business problem with little or no supervision. * Develops prototypes and proofs of principles for innovative features. * Integrates new models and algorithms into a product solution. * Mentors team with scientific libraries and development tools. * Develops quality software (including test code) according to clean code principles and Blue Yonder standards. * Considers operational aspects of machine learning services in early design stages and strives for more automation and self-service to reduce operational efforts for themselves and the team. * Empowers team members by sharing knowledge and providing hints so they come up with their own solutions. * Leads by example. Technical Environment Operate within a sophisticated technical landscape, utilizing Python 3.* and frameworks such as TensorFlow, PyTorch, BigQuery, Apache Beam, Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask. Our application architecture follows a scalable, resilient, reactive, event-driven and secure multi-tenant Microservices design, hosted on Google and Azure Cloud. Responsibilities: * As Staff Data scientist, you will be a guiding the team in the implementation of machine learning models and deep learning tools. * Collaborate with cross-functional teams to execute data enrichment, cleansing routines, and feature selection. * Evaluate candidate models, select the final model, and report on test performance. * Ensure proper runtime deployment of models and implement runtime monitoring for continued model stability. * Drive collaboration with product, sales, and engineering teams to shape the final solution. * Utilize data to understand patterns, formulate and test hypotheses, and iterate as needed. * Play a key role in preparing sales materials and estimating hardware requirements. * Lead client meetings, both online and onsite, to discuss new and current functionality. Qualifications: * Bachelor's Degree in Computer Science or any other related field is required * Min 8 to 10 years of experience with strong foundation in data science and deep learning principles. * Proficient in Python programming with a solid understanding of data structures. * Experience with frameworks and libraries like Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib, etc. * Expertise in a database query language, preferably SQL. * Familiarity with deep learning, time series, NLP, reinforcement learning, and combinatorial optimization. Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. * Solid experience with major cloud platforms, preferably Azure and/or GCP. * Knowledge of modern software development tools and best practices, including Git, Github Actions, Jenkins, Docker, Jira, etc. * Proven experience in team leadership, mentoring junior data scientists in an official or unofficial capacity. * Desired knowledge of Kafka, Redis, Cassandra, etc. Synomym title : Staff Software Engineer #LI- SR1 #LI-LOCAL * ------------------------------------------ The annual salary range for this position is $130,023.09 - $163,976.90 The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position. At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: * Comprehensive Medical, Dental and Vision * 401K with Matching * Flexible Time Off * Corporate Fitness Program * A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Support data modeling process, creating algorithms and predictive models, as well as performing custom analysis Support identification of key indicators both for compliance and effectiveness critical to mission/business success Support manipulation of large data sets and using them to identify trends and reaching meaningful conclusions Support ability to clean, aggregate and organize data from multiple sources and transfer this information to data warehouses Support data requirements and ensure storage, availability and coherence of electronically stored information to guarantee it meets the organization's needs

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow) • Strong foundation in statistics, probability, and machine learning • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will develop automated analytics products and conduct sophisticated data analysis to address critical business and client questions. You will design, implement, and deploy advanced data science solutions across multiple domains, translating complex findings into actionable insights that improve clinical, operational, and economic outcomes. You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational objectives. Responsibilities: * Lead the design and implementation of advanced machine learning, generative AI, statistical modeling, and unsupervised learning approaches across structured and unstructured data. * Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains. * Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing platforms to identify trends and actionable insights. * Apply deep expertise across end-to-end data science workflows, including data discovery, feature engineering, validation, and insight publishing. * Translate complex analytical outputs into clear dashboards, reports, and presentations for technical and non-technical audiences. * Make key analytic and architectural design decisions, define project goals based on strategic business needs, and own final solution outcomes. * Apply expert-level proficiency in programming languages and advanced analytics platforms, including cloud-based and distributed frameworks. * Lead code development and reviews, establish best practices, and mentor data scientists in advanced modeling and responsible AI usage. * Evaluate and adopt emerging tools, advanced frameworks, and generative AI technologies to continuously enhance analytical capabilities and workflows. * Partner with engineering and platform teams to support production deployment, monitoring, and lifecycle management of machine learning and generative AI models. * Implement responsible AI and model governance practices, including documentation, explainability, bias assessment, and validation standards. * Collaborate with cross-functional teams to integrate advanced analytics and AI solutions into products, workflows, and business processes. * Apply a solutions-oriented mindset to complex, multi-project initiatives and make autonomous decisions on data science deliverables aligned with enterprise objectives. Qualifications: * Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. * 7 or more years of relevant experience required. * Proven ability to apply advanced modeling, forecasting, anomaly detection, and natural language processing required. * Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques required. * Strong understanding of Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, information extraction, and Large Language Model (LLM)-based approaches required. * Expertise in programming languages such as Python, R, SAS, SQL, or similar tools required. * Knowledge of responsible AI principles, including model explainability, bias detection, fairness assessment, and ethical use of data. * Experience deploying, monitoring, and maintaining machine learning and generative AI models in production environments. * Experience implementing model governance practices such as documentation standards, version control, validation protocols, and audit readiness. * Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks. * Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to non-technical audiences. * Experience guiding or mentoring data scientists. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: ****************************************** Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Data Scientist Engineer Client: Largest Telecom client Duration: Long Term Contract Required Skills: Data Science, Machine Learning, AI, Big Data/ Hadoop, Python, Cloud- AWS/GCP. What were looking for... You are an accomplished Data Scientist, a recognized Machine Learning expert, and a thought leader in AI Technology and business innovation. You are a master at analyzing big data. Required: Formal education: Bachelors degree with six or more years of relevant work experience as a Data Scientist practicing model development for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years of relevant experience as a data scientist or machine learning engineer. Hands-on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script. Experience in data management and data analysis in a relational database, Hadoop and Spark. Experience with Cloud computing platform such as GCP or AWS Strong communication and interpersonal influencing skills. Excellent problem solving and critical thinking capabilities. Desired: A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business. Expertise in deep learning, NLP, reinforcement learning, recommender system, etc. Experience in leading large scale data science projects and delivering from end to end. Experience with building data pipelines, model framework and model deployment.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Data Scientist III Fort Worth, Texas Fort Worth, Texas is nicknamed "Cowtown" for its deep roots in the cattle ranching industry. Fort Worth is home to the celebrated Stockyards National Historic District. Fort Worth is home to several art museums, beautiful public spaces including the oasis\-like Water Garden, entertainment venues like Bass Performance Hall, and shopping galore in areas like Sundance Square. Whether you are looking to relocate or are a current resident, job opportunities in Fort Worth are abundant. On Time Talent Solutions is looking for an experienced Data Scientist! Data Scientist III - Requirements: Bachelor of Science in Mathematics\/Data\/Computer Science\/etc. Thorough knowledge of statistical software, such as SAS\/R\/Python Working knowledge of provider analytics, SQL and of data visualization tools, such as Tableau Experience working on Artificial Intelligence projects Thorough knowledge of program outcomes evaluation metrics, such as National Committee for Quality Assurance (NCQA), Utilization Review Accreditation Commission (URAC), Agency for Healthcare Research and Quality (AHRQ), and\/or Leapfrog Strong understanding of health plan and delivery system operations, healthcare informatics, and healthcare benefits and terminology Thorough knowledge of descriptive statistical techniques and terminology Ability to work collaboratively with individuals at all levels in a matrix organization while supporting multiple customers and to lead project work teams and coach and mentor project team members "}}],"is Mobile":false,"iframe":"true","job Type":"Contract","apply Name":"Apply Now","zsoid":"461622380","FontFamily":"PuviRegular","job OtherDetails":[{"field Label":"Industry","uitype":2,"value":"Medical"},{"field Label":"City","uitype":1,"value":"Fort Worth"},{"field Label":"State\/Province","uitype":1,"value":"Texas"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"76137"}],"header Name":"Data Scientist III \- Fort Worth","widget Id":"3**********0072311","is JobBoard":"false","user Id":"3**********1132001","attach Arr":[],"custom Template":"3","is CandidateLoginEnabled":false,"job Id":"3**********7980013","FontSize":"15","location":"Fort Worth","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do"}

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects. Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle: definition\/planning, execution and completion. The definition\/planning and execution phases focus on identifying relationships across data sources to provide insight into the individual and environmental characteristics and factors that drive behaviors and outcomes in the casualty and absence space. Methods include basic descriptive approaches including trending and visualization to advanced causal analysis rooted in statistics and data mining techniques. The DSC interprets results and presents findings to clients coupled with solutions for preventing or mitigating future exposures in conjunction with product line teams brought into the project as needed and as outlined in the project acquisition process. Skills: Significant knowledge of statistics and data mining methods such as, but not limited to, various forms of regression analysis and decision tree techniques Familiarity with visualizations tools such a Qlik or Tableau Understanding of data warehousing concepts Highly developed communication skills covering report development, presentation, and meeting management Project management Organized and collaborative Self\-starter that works well alone as well as in a group Requirements Bachelor's degree in mathematics, statistics, or related field; Masters or advanced certificate in data analytics preferred. 7\-10 years of experience in the data science field; 1\-3 years in consulting preferred; 1\-3 years in casualty or absence management industry preferred. "}}],"is Mobile":false,"iframe":"true","job Type":"Full time","apply Name":"Apply Now","zsoid":"696736903","FontFamily":"Verdana, Geneva, sans\-serif","job OtherDetails":[{"field Label":"Industry","uitype":2,"value":"Consulting"},{"field Label":"Work Experience","uitype":2,"value":"7"},{"field Label":"Salary","uitype":1,"value":"$85,000\-130,000"},{"field Label":"City","uitype":1,"value":"Dallas"},{"field Label":"State\/Province","uitype":1,"value":"Texas"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"75201"}],"header Name":"Data Scientist","widget Id":"5**********0072311","is JobBoard":"false","user Id":"5**********0272007","attach Arr":[],"custom Template":"3","is CandidateLoginEnabled":false,"job Id":"5**********0319022","FontSize":"12","google IndexUrl":"https:\/\/hanchey.zohorecruit.com\/recruit\/ViewJob.na?digest=8RZ.YYi2rpqW6kMfPseQpayvERcUs@nCocuaJBR22yo\-&embedsource=Google","location":"Dallas","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do"}

What Gives Us Purpose Merit Advisors is a team of expert consultants committed to delivering exceptional customer service and adding value to our clients. We do so by crafting holistic solutions that improve cash flow and add profit back to the bottom line for our clients. With a record of accomplishment spanning over 25 years, Merit offers deep experience in the energy industries. What We Seek We're looking for a versatile and curious Data Scientist to join our team as our first hire in this function. This is a unique opportunity to shape how data is used across the organization-from driving insights and business decisions to building the foundation for future AI and machine learning initiatives. You'll start by focusing on analytics, business intelligence, automation, and research, working closely with leadership to uncover insights and tell compelling stories with data. Over time, you'll help us evolve toward more advanced machine learning and statistical modeling, supported by a strong data infrastructure and engineering team. What Your Day Will Look Like Partner with executive and business development teams to identify opportunities for data-driven decision-making. Analyze structured and unstructured data to uncover trends, patterns, and actionable insights. Build dashboards and reports using tools like Power BI to support business operations and strategy. Conduct exploratory data analysis and hypothesis testing to support strategic initiatives. Collaborate with analysts and engineers to ensure data quality and accessibility. Contribute to the development of predictive models and machine learning solutions as the company's data maturity grows. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Stay current with emerging tools, techniques, and best practices in data science and AI. You're perfect for this role if you: Proficiency in Python and SQL for data analysis and scripting. Experience with Power BI or similar BI tools. Strong analytical thinking and problem-solving skills. Excellent communication and storytelling abilities. Ability to work independently and collaboratively in a fast-paced environment. Growth mindset and willingness to learn new tools and techniques. Exposure to AWS cloud services. Preferred (Nice to Have): Familiarity with SQL Mesh or similar data orchestration tools. Familiarity with AI Coding Tools such as Claude Code, Cursor, Windsurf, or similar. Basic understanding of machine learning concepts (e.g., regression, classification, clustering). Experience with statistical analysis (e.g., hypothesis testing, A/B testing). Knowledge of version control (e.g., Git) and collaborative development practices. What You Bring: Bachelor's degree (B.S.) in Computer Science, Statistics, Mathematics, Data Science, Management Information Systems, and or Engineering, or other equivalent degrees from a top four-year college or university Minimum 3-5 years of experience is preferred Master's is optional What We Provide At Merit, we ask a lot of our employees, which is why we give so much in return. In addition to your competitive salary, PTO program, medical/dental/vision plan, and matching 401(k), you'll enjoy company-sponsored events, continuous learning opportunities, and the flexibility to manage your work/life balance.

Industry: Information Technology Data Scientist Duration: 12 Months of Contract (Renewable) Skills Required: Minimum of ten (10) years of data experience in any combination of the following: Working with data warehouses and/or big data sets Working with database management systems Implementing data models, universes and data warehouses. Working with IT healthcare database support. Developing, executing, and tuning Structured Query Language (SQL) queries Data visualization, dash boarding, and business intelligence development. SAP HANA, Oracle, MS SQL and/or Hadoop administration Prefer previous experience within a clinical unit of a healthcare organization.

Data Scientist II, O'Donnell Brain Institute - (913218) Description WHY UT SOUTHWESTERN?With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U. S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career! JOB SUMMARYWorks under general direction to provide analysis and develops algorithms and software for clinical and/or basic research problems. Impacts data acquisition, management, and analysis in basic, translational, and clinical research, including clinical trials. The newly established Program for Memory Longevity (PML), led by Attila Losonczy in the Peter O'Donnell Jr. Brain Institute at the University of Texas Southwestern Medical Center (UTSW) in Dallas, in collaboration with the Paninski and Peterka labs in the Zuckerman Institute (ZI), Columbia University, New York and the International Brain Lab (IBL) is seeking a full-time Research Software Engineer. The Research Software Engineer will work closely with these labs to help develop and maintain software tools, in particular for the analysis and interpretation of large-scale imaging data. The ideal candidate will play an important role in translating research code into robust and easy-to-use software packages, as well as contribute to the understanding and use of imaging data. The primary location is at UTSW, including collaborative visits at ZI, New York. Main responsibilities include:Develop and maintain software packages for the analysis of functional optical imaging data (e. g. , one- and two-photon calcium and voltage imaging). Develop and maintain local and browser-based user interfaces for these packages. Work closely with other research software engineers to coordinate APIs and wrappers to link the optical imaging analysis suites to other synchronously monitored signals (e. g. electrophysiology or behavioral videography) Support the adoption and use of the software by the worldwide scientific community through dissemination efforts, including publishing written documentation and video tutorials, and assisting with workshops Work closely with machine learning researchers at UTSW and ZI to incorporate new algorithms into the software packages BENEFITSUT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:PPO medical plan, available day one at no cost for full-time employee-only coverage100% coverage for preventive healthcare-no copay Paid Time Off, available day one Retirement Programs through the Teacher Retirement System of Texas (TRS) Paid Parental Leave BenefitWellness programs Tuition ReimbursementPublic Service Loan Forgiveness (PSLF) Qualified EmployerLearn more about these and other UTSW employee benefits!EXPERIENCE AND EDUCATIONRequiredEducationMaster's Degree M. S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or Bachelor's Degree B. S. with demonstrated experience in broadly defined areas of bioinformatics. Experience2 years of post-graduation experience in data analysis and/or scientific software development for a Master‿s degree 4 years of post-graduation experience in data analysis and/or scientific software development for a Bachelor‿s degree JOB DUTIESAnalyzes and develops formalisms, algorithms and software for applications in biomedical research. Develops and maintains software tools and infrastructure for resolving specific problems. Performs the development, testing and revision of programs in a team with diverse bioinformatics expertise. Advises and assists users and other personnel in analyzing, defining and resolving computational problems. Performs other duties as assigned. SECURITY AND EEO STATEMENTSecurityThis position is security-sensitive and subject to Texas Education Code 51. 215, which authorizes UT Southwestern to obtain criminal history record information. EEOUT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. Primary Location: Texas-Dallas-5323 Harry Hines BlvdWork Locations: 5323 Harry Hines Blvd 5323 Harry Hines Blvd Dallas 75390Job: Research & LaboratoryOrganization: 312007 - ODL-Lab-LosonczySchedule: Full-time Shift: Day JobEmployee Status: RegularJob Type: StandardJob Posting: Dec 22, 2025, 9:07:40 PM