Data scientist jobs in College Station, TX - 1,488 jobs

Contract Type: W2 Only Job Title: Data Scientist We are seeking a mid-level Data Scientist to join our team and help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Required Skills: Research, prototype, and develop AI/ML solutions for customer segmentation and personalization. Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact. Build, deploy, monitor, and analyze machine learning models in production environments. Apply statistical experimentation techniques when launching and iterating on AI-driven products. Partner closely with data, product, marketing, and engineering teams to align solutions with business goals. Translate complex analytical findings into clear, actionable insights for non-technical stakeholders. Stay current with emerging tools, frameworks, and best practices in data science and experimentation. Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence. Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: 2+ years of experience in statistical data science, feature engineering, and customer segmentation. 2+ years of hands-on experience with Python, SQL, and PySpark. 2+ years of experience training, evaluating, and deploying machine learning models. 2+ years of experience productionizing ML workloads in AWS or Azure. Familiarity with containerized deployments using Docker and/or Kubernetes. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: Experience working with the Databricks platform. Experience building ML models using large-scale structured and unstructured data. Exposure to MarTech ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs) Experience integrating data science solutions into marketing and personalization workflows.

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

We are seeking a Senior Data Architect to play a strategic, business-facing role in shaping how data is used across the organization. This role will be a key partner to Operations, Supply Chain, and Executive Leadership, helping the business fully leverage Power BI and Dynamics 365 F&O to drive insight, decision-making, and performance. The ideal candidate brings deep Supply Chain Management (SCM) knowledge, strong BI architecture expertise, and the ability to translate business questions into meaningful analytics. This is not a finance-centric role-the focus is on operational excellence, supply chain visibility, and business enablement. The business teams are relatively new to D365 F&O and Power BI, so the successful candidate will act as a guide, translator, and evangelist, helping users mature their analytical capabilities while setting a scalable BI foundation. Key Responsibilities Strategic & Business Partnership Act as the BI thought leader for the business, bridging the gap between operational teams, IT, and executive leadership Partner closely with Supply Chain, Manufacturing, Logistics, and Operations leaders to define meaningful KPIs and reporting needs Support C-suite reporting, turning complex data into clear, executive-level insights and narratives Help shape the BI roadmap and data strategy, aligned with business priorities and transformation initiatives Power BI & Analytics Enablement Lead the design, development, and governance of Power BI solutions across the organization Establish best practices for data models, semantic layers, dashboards, and self-service BI Drive adoption by coaching and enabling business users to effectively use Power BI Translate business questions into intuitive dashboards and actionable insights D365 F&O & Data Architecture Design and maintain a robust analytics architecture leveraging Dynamics 365 F&O data Develop deep understanding of SCM data domains: inventory, procurement, production, warehousing, demand planning, logistics Ensure data consistency, reliability, and scalability across reporting solutions Work with IT and partners on data pipelines, integrations, and performance optimization Leadership & Change Enablement Serve as a trusted advisor during BI and data-related initiatives Drive continuous improvement in how data is used to manage operations and performance Champion a data-driven culture across a business new to modern BI tools Required Experience & Skills Core Requirements 8+ years of experience in BI, data architecture, or analytics leadership roles Deep functional understanding of Supply Chain Management (SCM) in a manufacturing or industrial environment Strong experience with Power BI (data modeling, DAX, semantic models, governance) Hands-on experience working with Dynamics 365 Finance & Operations, particularly SCM modules Proven ability to work directly with senior business stakeholders and executives Business & Communication Skills Strong ability to translate business needs into technical BI solutions Comfortable educating and enabling non-technical users Executive-level communication and storytelling with data Pragmatic, business-first mindset (not overly technical or finance-driven) Nice to Have Experience with Azure Data Platform (Azure SQL, Synapse, Data Factory, Databricks) Experience designing enterprise KPI frameworks for operations and supply chain Background in organizations early in their Power BI or ERP maturity journey Exposure to data governance, master data, or analytics operating models

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.

About the Role We are looking for a Data Analytics Engineer who sits at the intersection of data engineering and analytics. In this role, you will transform raw, messy data from vehicles, APIs, and operational systems into clean, reliable datasets that are trusted and widely used-from engineering teams to executive leadership. You will own data pipelines end to end and build dashboards that surface insights, track performance, and help teams quickly identify issues. What You'll Do Build and maintain ETL pipelines that ingest data from diverse internal systems into a centralized analytics warehouse Work with unique and high-volume datasets, including vehicle telemetry, sensor-derived signals, logistics data, and system test results Write efficient, well-structured SQL to model and prepare data for analysis and reporting Design, build, and maintain dashboards (e.g., Grafana or similar) used to monitor system performance and operational health Partner closely with engineering, operations, and leadership teams to understand data needs and deliver actionable datasets Explore internal AI- and LLM-based tools to automate analysis and uncover new insights What You'll Need Strong hands-on experience with Python and data libraries such as pandas, Polars, or similar Advanced SQL skills, including complex joins, window functions, and query optimization Proven experience building and operating ETL pipelines using modern data tooling Experience with BI and visualization tools (e.g., Grafana, Tableau, Looker) Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect High-level understanding of LLMs and interest in applying them to data and analytics workflows Strong ownership mindset and commitment to data quality and reliability Nice to Have Experience with ClickHouse or other analytical databases (e.g., Snowflake, BigQuery, Redshift) Background working with vehicle, sensor, or logistics data Prior experience in autonomous systems, robotics, or other data-intensive hardware-driven domains

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.

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.

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.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators, who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. We are seeking an experienced Data Scientist (Principal / Sr Principal Data Scientist) to join our dynamic team of technical professionals. The qualified applicant will become part of Northrop Grumman's Mission Systems support team in San Antonio, TX. Please be aware that this position will be contingent upon capturing program award, obtaining customer funding, and holding final clearances prior to start date. * What you'll get to do: Working as part of a team to design, build and maintain AWS and hybrid-cloud systems Administering systems based on Linux and Windows operating systems Maintaining and troubleshooting IP networking systems for AWS and hybrid-cloud systems Automating system deployment, operation and maintenance using Infrastructure as Code and Configuration Management tooling This position can be filled at the Principal or Sr. Principal Engineer level. Basic Qualifications for Principal Cyber Systems Engineer: Bachelor's degree in related STEM discipline with 5 years of experience; Master's degree related in STEM discipline with 3 years of experience; PhD in related STEM discipline with 1 year of experience in Electrical Engineering, Systems Engineering, Software Engineering, Computer Engineering, Physics, Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship required A current/active DoD Top Secret w/ SCI eligibility Proficient with CI/CD tools (GitLab, Jenkins, Azure DevOps, GitHub Actions) Strong scripting abilities (Python, Bash, PowerShell) Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP, or private cloud) Knowledge of IaC (Terraform, Ansible, Pulumi) Deep understanding of SCM, code quality, and test automation (pytest, CTest, JUnit). IAT Level II certification (e.g. Security + CE) or ability to obtain within 6 months Basic Qualifications for Sr. Principal Cyber Systems Engineer: Bachelor's degree in related STEM discipline with 8 years of experience; Master's degree related in STEM discipline with 6 years of experience; PhD in related STEM discipline with 4 years of experience in Electrical Engineering, Systems Engineering, Software Engineering, Computer Engineering, Physics, Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship required A current/active DoD Top Secret w/ SCI eligibility Proficient with CI/CD tools (GitLab, Jenkins, Azure DevOps, GitHub Actions) Strong scripting abilities (Python, Bash, PowerShell) Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP, or private cloud) Knowledge of IaC (Terraform, Ansible, Pulumi) Deep understanding of SCM, code quality, and test automation (pytest, CTest, JUnit). IAT Level II certification (e.g. Security + CE) or ability to obtain within 6 months Preferred Qualifications for both levels: 3 years experience with build tools (i.e., Maven, Ant, GNU make) and/or continuous integration environments (i.e., Jenkins, GitLab, Bamboo) and/or repositories (i.e. Nexus, JFROG) 3 years experience with Jira/Confluence in an Agile environment. Proficiency with Linux based software development tools. 3 years experience with Microsoft and Linux Red Hat operating system. 3 years experience with scripting languages (i.e. PERL, Python, Bash, YAML). 3 years experience with Kubernetes implementation and Day 2 Operations. 3 years experience with VMware Cloud Foundation, Terraform, vCenter, vSphere, or similar Virtual Provisioning. 3 years experience with container technologies 3 years experience developing and implementing CI/CD Pipelines. Excellent interpersonal, communication and organizational skills. Strong critical thinking and logical reasoning skills with the ability to solve issues. Working knowledge of Cybersecurity technologies, NIST standards, and RMF governance Excellent communication and stakeholder management Proven ability to influence and drive adoption of best practices across teams SAP access Primary Level Salary Range: $110,000.00 - $165,500.00Secondary Level Salary Range: $137,500.00 - $206,000.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.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.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Bachelors Degree in a quantitative field required with minimum of 1 year of experience; Masters degree preferred. Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts and experience with applications. Ability to write clean and concise code, especially in R or Python. Keen eye for detail and thoughtful investigation of data before relying upon it. Ability to work in a professional, confident manner. Sound prioritization and time management skills. Intuition for data science best practices, stemming from proven experience.

We are seeking a skilled AI Practitioner/Data Scientist with a deep specialization in Generative AI and a robust background in data. The ideal candidate will have hands-on experience in designing, developing, and deploying AI models with a focus on generative techniques. This role demands a strong understanding of data engineering principles, making the candidate well-equipped to handle the data pipeline challenges inherent in AI and data projects. GenAI Model Development: * Design, implement, and optimize operational and analytical solutions utilizing Generative AI models. * Develop and fine-tune RAG (Retrieval Augmented Generation) frameworks utilizing LLM frameworks such as LangChain, Llama-Index or other generative frameworks. * Experiment with new architectures and techniques to push the boundaries of generative AI. Data Engineering: * Collaborate with data engineering/analyst teams to ensure the availability and quality of data needed for model training and validation. * Design and maintain scalable data pipelines to handle large volumes of structured and unstructured data. * Perform ETL tasks with to create optimal data-warehousing structures (Dimensional modelling) for optimal storage, ease of use and maintainability. * Integrate data from various sources and ensure its proper storage, transformation, and accessibility. Deployment and Scaling: * Deploy AI and generative AI models in production environments, ensuring they meet performance, scalability, and reliability requirements. * Work with DevOps teams to automate the deployment and monitoring of AI models. * Optimize model inference for performance and cost efficiency in cloud and on-premises environments. Collaboration and Communication: * Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to align AI solutions with business objectives. * Communicate complex AI concepts and findings to non-technical stakeholders. Continuous Learning and Innovation: * Stay up to date with the latest advancements in Generative AI and data engineering. * Participate in conferences, workshops, and other professional development opportunities. * Contribute to research publications and patent filings in the field of Generative AI. Requirements * 3+ years of experience in AI, with a focus on Generative AI (1-2 years). * Proven experience in data engineering, including data pipeline development, ETL processes, and database management. * Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and Generative AI frameworks. * Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Technical Skills: * Proficiency in programming languages such as Python, SQL, and familiarity with data manipulation libraries (e.g., Pandas, NumPy). * Strong knowledge of machine learning algorithms, neural networks, and generative models. * Experience with data storage solutions (e.g., Hadoop, Spark, Vector databases). * Knowledge of MLOps practices, including model versioning, monitoring, and retraining Soft Skills: * A proactive attitude with a passion for learning and innovation. * Excellent communication and teamwork abilities. * Strong problem-solving and analytical skills. Preferred Qualifications and Certification * Bachelor's or master's degree in Computer Science, Data Science, Machine Learning, or a related field. * Master's or Ph.D. is advantageous * Any of the following certifications are highly advised: * AWS Certified AI Practitioner * AWS Certified Machine Learning * GCP Professional Machine Learning Engineer * GCP Associate Cloud Engineer * Microsoft Azure AI engineer * Microsoft Azure Data Science. #Post #FNB #LI-AR4 Job Details Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below. 27/01/26 All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

⦁ Defines , creates and enhances database models for operational and reporting needs for specified domain. ⦁ Create , build, design database schemas to enable high throughput OLTP transactions ⦁ Code stored procs , packages, triggers using standard database patterns and ensure optimal performance and a secure codebase. ⦁ Troubleshoot and identify areas of improvement and recommend solutions to fix observed or potential issues with design, performance or security. ⦁ Ensures adherence to Enterprise data movement , quality and accountability standards in technology. ⦁ Conducts data driven analyses of usage of detailed data elements across the business domain to provide optimal data provisioning patterns across the application space. ⦁ Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value. Challenges data and information integrity. Works as a business partner that provides decision support to various LOB unit leaders. ⦁ Leads discussion in the ongoing development and operations of both operational data models and business intelligence architecture that enables fast real time access to data as well as fact-based decision making and ad hoc analysis and insight generation. ⦁ Operational Data Store modeling, design and development ⦁ Design and prototype new analyses, reports, applications and systems ⦁ Enhancing old processes and defining new ones ⦁ Data mining and producing novel reports for management ⦁ Works closely with Line of Business Client to develop and enhance SQL data base solution Salary Range- $125,000-$130,000 a year

Welcome to epicenter of personal power. We re driven by the idea of a smarter, cleaner, digitally-enhanced energy ecosystem and the possibilities that brings to the world and to the seven million customers we serve. Consumer s data scientists use a combination of technical and business skills to help brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling. Essential Duties/Responsibilities: Adhere to our culture of humility, curiosity, and impact Process data using Python, PySpark, and Databricks Develop models and dashboards Learn the job while performing hands-on analytics and modeling Help business partners make more profitable decisions based on customer and prospect insights Minimum Requirements: 0-3 years of experience in data analysis or related field Master s degree in a quantitative discipline or equivalent practical experience Experience with statistical software and database languages Preferred Qualifications: Experience using data science to improve customer experience and business profitability PhD in a quantitative discipline Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing Proficiency with version control Experience with reading and writing data in the cloud Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society. Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large. As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. As a Data Scientist, you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Key Responsibilities Experience in the full ML lifecycle - understanding, developing, deploying, and maintaining traditional data science solutions. Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks. Strong programming skills in Python or PySpark. Solid understanding of supervised + unsupervised learning algorithms and concepts. Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts. Experience in the optimization and tuning of machine learning solutions to handle large volumes of data. Outstanding verbal and written communication skills. Excellent presentation and whiteboarding skills. Experience communicating highly technical concepts to non-technical audiences. Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements. Skills, Knowledge and Expertise Bachelor's degree in computer science or related field Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus Experience with GitHub or Azure DevOps Prior consulting and business development experience a plus.

Mindlance Inc. is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at ************************* Job Description Role: Data Scientist Location: Houston, Texas Role : 6 months Job Details: Must Have Skills (Top 2 technical skills only) Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization etc. in business analytics or scientific/engineering settings Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop etc.) Nice to have skills (Top 2 only) A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational methods Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately. Additional Information Thanks & Regards Praveen K. Paila ************

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you'll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable's self-serve business. You'll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. What you'll do Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics Who you are Bachelor's degree in computer science, data science, mathematics/statistics, or related field 6+ years of experience as a data scientist, data analyst, or data engineer Experience supporting product development teams and driving product growth insight Background in SaaS, consumer tech, or data-driven product environments preferred Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode) Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels) Proven ability to apply AI/ML tools - from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot) Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights Provides thought leadership on user funnels, retention, and growth analytics Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows Experience at an AI-native company, with exposure to building or scaling products powered by AI Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness Models curiosity, creativity, and a learner's mindset; thrives in ambiguity and inspires others to do the same Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$205,200-$266,300 USDFor all other work locations (including remote), the base salary range for this role is:$185,300-$240,000 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Data Scientist responsibilities are: Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams Data Scientist requirements are: 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred Must be a U.S. Citizen

Daikin Comfort Technologies Mfg is seeking a professional, skilled individual for our Data Scientist position at our Waller, TX facility. The Data Scientist role at its core links business strategy to the data. The Data Scientist role at its core links business strategy to the data. He/she will transform structured or unstructured data into actionable information and predictive models to make a big impact across the organization. This individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and hearts. He/she will keep the customer front of mind in all of the work and optimize the customer experience, which will translate to creating long-term business value. As a pioneering Data Scientist at Daikin, he/she will influence the cultural change around how we use, talk about, and ultimately value our data assets, as part of a broader Digital Transformation. Why work with us? > Benefits are effective on day one for all full-time direct hires. > Training programs are available to help guide team members and develop new skills. > Growth Opportunities - there are immense opportunities to grow your career. > You will be part of a Global Company - our family brands are backed by Daikin Industries, Ltd. Position Responsibilities may include: Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models to turn data into insights; creatively analyze data to understand drivers of historical business performance and build predictive models to inform future business strategies Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis Engage with third-party data providers to strengthen and enrich data models as needed; inform purchase of net new data Deeply understand all sources of data across the enterprise, link to data strategy, and continually evolve ability to measure and track key data points to enable data-driven decisions Collect and provide quantitative and qualitative information to measure effectiveness of marketing activities and answer strategic business questions Analyze and discern campaign execution, targeting and optimization of marketing investment to deliver sales and operating profit across brands Utilize visualization solutions to improve timeliness of data delivery and provide better visibility to decision makers to help them monitor, measure, or predict how the company is performing Perform marketing research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of Customer Lifetime Value across the enterprise Assist with internal assessments of workflow processes to identify inefficiencies, especially those where Marketing is involved, and propose more efficient processes and procedures via process automation leveraging tech platforms Assist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse Provide data science support and ad hoc analysis to enterprise leadership as needed Perform additional projects/duties to support ongoing business needs. Nature & Scope: Applies practical knowledge of job area typically obtained through advanced education and work experience Encouraged to seek continuous improvements Performs a range of mainly straightforward assignments Works independently with general supervision Problems faced are difficult but not typically complex Knowledge & Skills: Strong analytical skills with attention to detail; strong knowledge of statistical analysis, machine learning process, computer science principles, and basic programming principles Moderate data storytelling ability - ability to produce actionable information/insights, not just data crunching Strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization Knowledge of experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale up Proficient in MS Office especially Excel; ability to translate data insights into PowerPoint presentations Strong understanding of relational databases with experience in SQL - Microsoft SQL Server, Oracle, Postgres Moderate experience with A/B testing and data science techniques to build and implement predictive models Strong experience with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications) Moderate experience with Python, R, Alteryx or other analytics platforms a plus (or similar applications) Eager to make a big impact at a large company - you show up for work and get things done Natural ability and desire to work on a team - goes the extra mile when needed; ability to work independently too Ability to grasp complex concepts and systems quickly Ability to manage multiple projects and shift direction quickly Intellectual curiosity and strong passion for using data to solve problems creatively Ability to apply good judgment, strong work ethic, and integrity on the job. Experience: 3-5 years of work experience in a Marketing / Consulting / Business Analyst / Data Science role Experience solving complex business problems involving a heavy amount of analytics / data science Marketing-based experience preferred, but not required (either D2C or B2B performance marketing) HVAC industry experience preferred, but not required Education/Certification: Bachelor's degree (required) in Marketing / Business / Engineering / Statistics / Mathematics / Economics / Computer Science; or other related degree with strong quantitative emphasis Master's degree (preferred) in Data Science / Business Administration / Marketing People Management: No Physical Requirements / Work Environment: Must be able to perform essential responsibilities with or without reasonable accommodations Reports To: Qualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States. The Company provides equal employment opportunity to all employees and applicants regardless of a person's race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.