Data Scientist Jobs in Grain Valley, MO

This is a remote, part-time analyst role for undergraduate students. You will complete tasks similar to those of a management consultant at a top-tier firm. The work will be done asynchronously and on a project-by-project basis. We expect a commitment of approximately 10 hours per week for the projects you take on. This position offers high pay, valuable consulting experience, and a flexible schedule that can work around your academic commitments. This is an excellent opportunity to gain real-world consulting experience while still in school, building your skills and resume for future career opportunities. Responsibilities Conduct market research and competitive analyses Build frameworks and models to solve business problems Create data-driven presentations and client-facing materials Develop strategic recommendations based on analytical findings Complete projects on time with high attention to detail Required Qualifications Currently enrolled at a top 50 undergraduate university or top 20 undergraduate business school Strong analytical and critical thinking skills Excellent communication and presentation abilities Proficiency with Excel, PowerPoint, and data analysis tools Ability to synthesize complex information into clear recommendations

**What We're Looking For** At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of Big Data, data sciences, Machine Learning (ML), and Artificial Intelligence (AI). Our clients deal with massive amounts of structured and unstructured data which opens up new opportunities for you to apply your analytical skills to respond to complex questions and needs by digging into their data-rich environments to find the pieces of their information puzzle. You'll explore data from various sources, discover patterns and previously hidden insights to address business problems, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. The HNTB Digital Transformation Solutions team is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, artificial intelligence and applied mathematical techniques to deliver insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights. **What You'll Do:** + Provides insight into leading analytics practices. + Designs and leads iterative learning and development cycles. + Produces new and creative analytic solutions that will become core work you're doing. + Develops proficiency with data mining, cleaning, aggregation techniques. + Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. + Mines and analyzes large datasets, draws insights from data using statistical techniques. + Develops custom data models and algorithms to apply to data sets. + Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. + Develops company A/B testing framework and test model quality. + Coordinate with different functional teams to implement models and monitor outcomes. + Performs other duties as assigned. **What You'll Need:** + Bachelor's degree in data science, statistics, computer science, computer engineering, or information systems and 3 years of relevant experience, or + Master's degree in data science, statistics, computer science, computer engineering, or information systems and 2 years of relevant experience, or + In lieu of education, 7 years of relevant experience **What You'll Bring:** + Design, develop, and implement leading-edge data sciences models, segmentation, anomaly detection, and optimization solutions. + Develop, train, and apply AI and ML solutions to real-world problems. + Effectively communicate data analysis, modeling methodology, and results to internal partners and client teams. + Work on data sciences projects from inception through completion including, but not limited to, data evaluation, methodology design, data cleansing, data wrangling, feature engineering, processing optimization, results interpretation, and client communication. + Conduct data engineering to enable rigorous analysis of data + Coordinate with developers, quality assurance teams, and users to test processes and ensure functionality and user acceptance. + Support project managers to coordinate resources and ensure projects are delivered on time and on budget, with quality, to the customer's satisfaction. + Perform other duties as assigned. **What We Prefer:** + Experience as a data scientist or data engineer utilizing languages such as Python, R, SQL, Scala, and Java + Experience visualizing/presenting data for stakeholders using Power BI, Tableau, or similar tools + Experience working in a consulting environment + Bachelor's degree in Data Sciences, Economics, Statistics, Mathematics, or Engineering + Master's degree in Data Sciences, Computer Science, Mathematics, Statistics, Economics, or appropriate field. + Transportation Industry experience + Consulting experience + Ability to travel **Additional Information** Click here for benefits information: HNTB Total Rewards Click here to learn more about EOE including disability and vet Visa sponsorship is not available for this position. \#RN . Locations: Atlanta, GA, Boston, MA, Chicago, IL, Dallas, TX, Kansas City, MO, Minneapolis, MN, Plano, TX (Granite Parkway), Salt Lake City, UT, St. Louis, MO . . . . . . . . . . . . . . . The approximate pay range for Minnesota is $76,232.92 - $114,349.38. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state. . The approximate pay range for Illinois is $79,863.05 - $119,794.58. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state. . _NOTICE TO THIRD-PARTY AGENCIES:_ _HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees._ **Job Type:** Regular **Full/Part Time:** Full time **Job Category:** Technical Group **ReqID:** R-25325

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: ***********************************

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

GlobalLogic is hiring a Lead Data Scientist / ML Engineer for one of largest mobile communications customer. #LI-VS6 Requirements * Bachelor or Masters degree in highly quantitative field (computer science, or electrical engineering, mathematics, statistics) or equivalent domain specific experience in lieu of a degree * Proficient in machine learning data workflows, data collection methodologies, and data analysis * Experience with architecting, designing, developing software solution in Azure and on-prem environments * Certifications AI / ML and Azure Cloud platforms Job responsibilities * 7 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting * 5 plus years of applied experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance. * 5 plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. * 3 plus years of experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and On- premise environments * Expertise with SQL, no SQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.) * Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations. * Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects. * Expertise with scaling pilot machine learning solutions to a large scale production environment * Expertise with visualization tools such as PowerBI, D3JS etc. * Excellent written and verbal communication skills. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

divdivdivdivdivdivdivdivh1Position Title/h1p style="text-align:inherit"/p/div/div/div/div/div/div/div Data Scientist Principalp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:inherit"/pBroadmoor Campusp style="text-align:inherit"/pp style="text-align:inherit"/ph2 / Career Interest:/h2As a Data Scientist, you will discover and solve real world problems by analyzing clinical, operational, and financial data, defining new metrics and use cases, designing experiments, and creating models. All of this will be done as a part of the centralized Analytics and Business Intelligence department while collaborating with various stakeholders throughout the health system. This role explores and analyzes information to gain maximum insight that can give the organization a competitive advantage. The data scientist will need to be become a subject matter expert for the domains they support and the underlying data, including metadata and recommending ways to improve data quality. Further, the Data Scientist will be responsible for pioneering new methodologies, defining and improving performance metrics and evaluation, and will generally lead innovation efforts on the Data Science team.br/br/Successful candidates should have strong statistics background, programming skills, and understanding of the industry and how it operates. Critical thinking and problem-solving skills are essential for interpreting data, with good communication skills to deliver the findings. Candidates should be comfortable operating in a dynamic environment with ability to balance multiple priorities and competing deadlines. Lastly, the Data Scientist should have an entrepreneurial spirit, always asking "how can we do this better", to drive outcomes for patients as well as for the Health System as a whole.p style="text-align:inherit"/pp style="text-align:inherit"/pb Responsibilities and Essential Job Functions/bulli Participate in all aspects of the project lifecycle from requirement gathering, hypothesis generation, data extraction and transformation, programming, testing, delivery of recommendations, implementation, and ongoing monitoring. /li li Perform diagnostic analysis to drill down to the root-cause and isolate confounding information that creates a more complete understanding of current performance and informs ways to improve it. /li li Develop robust models, using iterative model development process, based on statistical approaches and data mining techniques to provide insights and recommendations based on complex data sets that support and guide evidence-based practices. /li li Formulate, train, and validate predictive models and algorithms to solve a diverse set of problems by incorporating latest research findings. /li li Identify the most optimal modeling technique based on available data types and objectives/use cases (supervised, unsupervised, semi-supervised, or reinforcement learning). /li li Implement efficient automated processes that produce modeling results at scale. /li li Present stories told by data, that are actionable, in a visually appealing and easy to understand manner, to various levels of operations within the health system, including the executive team. /li li Review tasks critically and ensure they are appropriately prioritized and sized for incremental delivery. /li li Anticipate and communicate request and project roadblocks and delays before they require escalation. /lili Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. /li li These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. /li/ulbr/bRequired Education and Experience/bulli Master's Degree in Computer Science, Mathematics, Statistics, Engineering, Economics, or another computational/quantitative field (or equivalent years in experience)/li li6 or more years experience using data mining/analytical methods and associated tools such as Python, R, etc. /li li6 or more years SQL experience in a relational database or an equivalent combination of education and experience /li li6 or more years experience working with various statistical methods, such as regression analysis, time series analysis, experimental design, etc. /li li1 or more years experience developing applications with one or more business intelligence tools such as Power BI, Qlik, SAP Business Objects, Tableau, etc. /li /ulbr/bPreferred Education and Experience/bulli Doctorate in Statistics, Epidemiology, Health Economics, Biostatistics, Computer Science, Clinical/Biomedical Informatics, or a related computational and quantitative discipline/li li Experience with analytical documentation tools such as Jupyter Notebook /li li Experience in healthcare environment /li li Experience working with Caboodle /li li Experience with one or more of the following data domains: Activity Based Costing, Hospital Industry Data Institute, Press Ganey, Vizient, Workday, etc. /li /ulbr/bRequired Licensure and Certification/bulli Epic certification in 4 data model(s). If not certified, certification is required within 24 months from employment /li /ulbr/bPreferred Licensure and Certification/bulli Project Management Professional (PMP) - Project Management Institute (PMI) Project management, Lean, Six Sigma, Agile certification /li li MS Certifications: Power BI Data Analyst Associate /li /ulbr/p style="text-align:inherit"/pp style="text-align:inherit"/ph2Time Type:/h2Full timep style="text-align:inherit"/pp style="text-align:inherit"/ph2Job Requisition ID:/h2R-41016p style="text-align:inherit"/pp style="text-align:inherit"/ph3ispanWe are an equal employment opportunity employer without regard to a person's race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, ancestry, age (40 or older), disability, veteran status or genetic information./span/i/h3p style="text-align:inherit"/pp style="text-align:inherit"/ph2Need help finding the right job?/h2p style="text-align:inherit"/pp style="text-align:left"We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests./p/div

div We're seeking a highly skilled Data Scientist to modernize Netsmart's product portfolio with AI native applications. As a Lead Data Scientist specializing in AI/ML, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our applications. You will collaborate closely with cross-functional teams including product managers, software engineers, and software architects to unlock machine learning capabilities in all our products. We build to scale domestically, leveraging state-of-the-art tooling, with zero downtime. p style="text-align:inherit"/pp style="text-align:inherit"/pdivpb Responsibilities: /b/pulli Design, develop, and optimize machine learning models for production environments. /lili Build scalable AI systems, including data pipelines, model training, and deployment frameworks. /lili Work with deep learning frameworks (TensorFlow, PyTorch) and traditional ML libraries (Scikit-learn, XGBoost). /lili Collaborate with cross-functional teams to integrate AI solutions into existing products and services. /lili Optimize models for performance, scalability, and efficiency in cloud or on-prem environments. /lili Stay up to date with the latest advancements in AI/ML and apply best practices to ongoing projects. /lili Conduct experiments, analyze performance, and iterate on models to enhance accuracy and efficiency. /lili Mentor junior engineers and contribute to the AI/ML technical strategy. /lili Design and develop strategy for ullimedical language learning through language models/lilimedical code and group code (per various specifications) using large language model/lilicontract interpretation/lilitransforming rules and workflows into decision tree using deep learning ML models/lilirisk detection/anomaly detection using deep learning ML model/li/ul/lili Work with Engineering team to lay out training data acquisition strategy/lili Lay out the process for ML use case evaluation and planning/lili Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval /lili Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance/lili This role is hybrid and based in Overland Park, KS. /li/ulp/ppb Requirements: /b/pp✅ bEducation amp; Experience:/b/pulli Bachelor's, Computer Science or AI, Data Science, or a related field. /lili5+ years of experience in AI/ML development, with a strong track record of building and deploying models. /li/ulp/pp✅ bTechnical Skills:/b/pulli Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). /lili Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow). /lili Strong background in data preprocessing, feature engineering, and model optimization. /lili Familiarity with deep learning architectures (CNNs, RNNs, Transformers) and NLP techniques. /lili Experience with big data technologies (Spark, Hadoop) is a plus. /lili Knowledge of DevOps, CI/CD for AI models, and containerization (Docker, Kubernetes) is a plus. /li/ulp/pp✅ bSoft Skills:/b/pulli Strong problem-solving and analytical skills. /lili Ability to work in a fast-paced, collaborative environment. /lili Excellent communication skills to convey complex AI concepts to/lilistakeholders. /li/ulp/pp Preferred Qualifications:/pulli Master's Degree/lili AWS Cloud Experience/li/ulp/p/divp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:left"span Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. /span/pp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:left"span Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, including a drug screen, which is provided at Netsmart's sole expense. In the event a candidate tests positive for a controlled substance, Netsmart will rescind the offer of employment unless the individual can provide proof of valid prescription to Netsmart's third party screening provider. /span/pp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:left"iIf you are located in a state which grants you the right to receive information on salary range, pay scale, description of benefits or other compensation for this position, please use this a href="************** office. com/r/a5KjYkVCaT" target="_blank"form/a to request details which you may be legally entitled. /i/pp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:left"iAll applicants for employment must be legally authorized to work in the United States. Netsmart does not provide work visa sponsorship for this position. /i/pp/pp/ppispan Netsmart's Job Applicant Privacy Notice may be found a href="************************************ azurewebsites. net/-/media/pdfs/Misc/NTST_Job_Applicant_Privacy%20Notice_FINAL_0524. pdf" target="_blank"here/a. /span/i/p/div

Title Data Scientist Principal Broadmoor Campus / Career Interest: As a Data Scientist, you will discover and solve real world problems by analyzing clinical, operational, and financial data, defining new metrics and use cases, designing experiments, and creating models. All of this will be done as a part of the centralized Analytics and Business Intelligence department while collaborating with various stakeholders throughout the health system. This role explores and analyzes information to gain maximum insight that can give the organization a competitive advantage. The data scientist will need to be become a subject matter expert for the domains they support and the underlying data, including metadata and recommending ways to improve data quality. Further, the Data Scientist will be responsible for pioneering new methodologies, defining and improving performance metrics and evaluation, and will generally lead innovation efforts on the Data Science team. Successful candidates should have strong statistics background, programming skills, and understanding of the industry and how it operates. Critical thinking and problem-solving skills are essential for interpreting data, with good communication skills to deliver the findings. Candidates should be comfortable operating in a dynamic environment with ability to balance multiple priorities and competing deadlines. Lastly, the Data Scientist should have an entrepreneurial spirit, always asking "how can we do this better", to drive outcomes for patients as well as for the Health System as a whole. Responsibilities and Essential Job Functions * Participate in all aspects of the project lifecycle from requirement gathering, hypothesis generation, data extraction and transformation, programming, testing, delivery of recommendations, implementation, and ongoing monitoring. * Perform diagnostic analysis to drill down to the root-cause and isolate confounding information that creates a more complete understanding of current performance and informs ways to improve it. * Develop robust models, using iterative model development process, based on statistical approaches and data mining techniques to provide insights and recommendations based on complex data sets that support and guide evidence-based practices. * Formulate, train, and validate predictive models and algorithms to solve a diverse set of problems by incorporating latest research findings. * Identify the most optimal modeling technique based on available data types and objectives/use cases (supervised, unsupervised, semi-supervised, or reinforcement learning). * Implement efficient automated processes that produce modeling results at scale. * Present stories told by data, that are actionable, in a visually appealing and easy to understand manner, to various levels of operations within the health system, including the executive team. * Review tasks critically and ensure they are appropriately prioritized and sized for incremental delivery. * Anticipate and communicate request and project roadblocks and delays before they require escalation. * Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. * These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. Required Education and Experience * Master's Degree in Computer Science, Mathematics, Statistics, Engineering, Economics, or another computational/quantitative field (or equivalent years in experience) * 6 or more years experience using data mining/analytical methods and associated tools such as Python, R, etc. * 6 or more years SQL experience in a relational database or an equivalent combination of education and experience * 6 or more years experience working with various statistical methods, such as regression analysis, time series analysis, experimental design, etc. * 1 or more years experience developing applications with one or more business intelligence tools such as Power BI, Qlik, SAP Business Objects, Tableau, etc. Preferred Education and Experience * Doctorate in Statistics, Epidemiology, Health Economics, Biostatistics, Computer Science, Clinical/Biomedical Informatics, or a related computational and quantitative discipline * Experience with analytical documentation tools such as Jupyter Notebook * Experience in healthcare environment * Experience working with Caboodle * Experience with one or more of the following data domains: Activity Based Costing, Hospital Industry Data Institute, Press Ganey, Vizient, Workday, etc. Required Licensure and Certification * Epic certification in 4 data model(s). If not certified, certification is required within 24 months from employment Preferred Licensure and Certification * Project Management Professional (PMP) - Project Management Institute (PMI) Project management, Lean, Six Sigma, Agile certification * MS Certifications: Power BI Data Analyst Associate Time Type: Full time Job Requisition ID: R-41016 We are an equal employment opportunity employer without regard to a person's race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, ancestry, age (40 or older), disability, veteran status or genetic information. Need help finding the right job? We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! T-Mobile's Strategy and Corporate Development (S&CD) team is looking for a Principal Data Scientist who can build data-driven strategic insights. Our team: T-Mobile's S&CD team is an internal consulting team that works with executive leaders from across the company. Leveraging deep problem-solving and advanced data skills, the team delivers insight and helps leaders make critical strategic and operational decision. This role owns projects that tackle complex and ambiguous problems to drive transformational change (e.g. Customer-Driven Coverage). As a Principal Data Scientist, you will tackle complex and ambiguous problems to drive transformational change (e.g. Customer-Driven Coverage). You will be responsible for combining the strategic and the technical. Beyond building advanced analytical, machine learning, and AI models, you will structure the problem-solving for projects, work with teams across T-Mobile, and identify the 'so what' for senior leaders making decisions. Job Responsibilities: * Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming. * Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities. * Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team. * Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams * Provide senior level guidance to the data science and measurement science teams on approach and methodologies. * Communicate important information and insights to business leaders using verbal, written, and data visualization skills. * Also responsible for other Duties/Projects as assigned by business management as needed. Education: * Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Required) * Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) Work Experience: * 7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required) * 7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. (Required) * 7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL (Required) * 4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations (Required) * 4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks. (Required) * 4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required) * 4-7 years of Experience in data visualization (Required) * 2-4 years Management consulting, investment banking, or corporate strategy (Required) * Experience in the telecom industry preferred. Knowledge, Skills and Abilities: * Mathematics: Calculus, linear algebra, statistics, and probability (Required) * Programming: Mastery of Python and SQL (Required) * Machine Learning: Apply machine learning techniques including supervised and unsupervised learning; collaborative filtering; and artificial neural networks (Required) * Deep Learning: Research, design, implement, evaluate, and optimize novel algorithms/models in Deep Learning space (Required) * Communication: Exemplary communication skills, ability to work with cross functional teams * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):No DOT Regulated: DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Base Pay Range: $127,400 - $229,800 Corporate Bonus Target: 20% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, ******************************************** ID=REQ302519¶dox=1 At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out ************************* Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable! T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling **************. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Our Firm American Century Investments is a leading global asset manager focused on delivering investment results and building long-term client relationships while supporting research that can improve human health and save lives. Founded in 1958, the firm's 1,400 employees serve financial professionals, institutions, corporations, and individual investors, offering a wide range of investment strategies across a variety of investment disciplines. We are committed to providing institutional-quality, actively managed solutions with a performance-centered mindset. Our expertise spans global growth equity, global value equity, disciplined equity, multi-asset strategies, global fixed income, alternatives, and ETFs. Privately controlled and independent, we focus solely on investment management. This empowers us to align our decisions with client expectations and concentrate on their long-term money management needs. Our culture of winning behaviors exemplifies our dedication to clients every single day. Delivering investment results enables us to distribute over 40% of our dividends-more than $1.8 billion - to the Stowers Institute for Medical Research, a 500-person, non-profit basic biomedical research organization with a controlling interest in American Century Investments. Our dividend payments provide ongoing financial support for the Institute's work of uncovering the causes, treatments, and prevention of life-threatening diseases, like cancer. For more information, please visit americancentury.com. The Sr. Data Scientist on the Client Insights and Analysis Team will serve as a primary insights provider for the Wealth Management business channel. The primary responsibility of the Sr. Data Scientist on the Client Insights and Analysis Team is to work with business decision-makers to identify business issues and objectives, explore data mining and model building opportunities, build statistical models, present analytical results and models, and provide actionable insights. The Sr. Data Scientist on the Client Insights and Analysis Team will act as a senior member of the team who will assist his/her manager in exploring analytical opportunities, consulting on analytical work of the team and being a coach for other team members. Strong entrepreneurial spirit, interpersonal skills, consultation skills, client management skills, and analytical skills are key to the success for the Sr. Data Scientist role on the Client Insights and Analysis team. Major Responsibilities and Accountabilities: Actively participate in client-based cross-functional teams: represent data science profession on client-based cross-functional teams; identify business issues and resulting research needs; participate in client team project planning; fulfill identified team responsibilities: (10%) Consult with decision-makers to identify business objectives, data sources and analytical methodology: work independently or with other analysts to identify and define business issues and goals, convert them into appropriate analytical objectives and strategies. Will explore and understand all internal data sources and will have a clear understanding of methodology behind the analysis and model building: (30%) Provide research design and analysis, engage in data science and model building: based on identified needs, analyze database information or 3rd party data sources in response to data analysis requests. Identify and implement appropriate design and analysis, explore data sources to uncover useful information to help business clients in their decision making. Primarily will use Python and the AWS tech stack (Athena, Sagemaker, Glue, Redshift, etc.) as well as a variety of other data and analysis software. Activities include, but are not limited to: (50%) Create research design, measurement for clients in business execution Provide analysis reports and give proper interpretation to clients Build models to meet clients' objective using available data sources Report analytical results and recommendations to business clients Provide support for Client Insights and Analysis team; consult on data science and model building issues Help team development, be a coach for other analysts Act as single point of contact for business partner and address their needs with minimal guidance from manager Responsible for training and maintaining scoring mechanisms that drive our Next Best Action/Lead Management programs including Client Engagement, Interest and Lifetime Value Scoring Act as data steward for critical Distribution data sets such as those provided by key firm partners Administrative: participate in professional development: (10%) Required Skills: Ability to work independently and as a member of a team. Ability to analyze data and translate results into actionable insights. Excellent problem solving skills essential. Ability to communicate clearly and concisely, both verbally and in written form. Ability to prioritize work and manage multiple requests concurrently. Highly motivated self-starter with the ability to determine priorities, to plan, organize and follow through on assignments. Accuracy and attention to detail are essential. Must be customer focused. Ability to learn technical software applications and statistical techniques. Professional attitude and appearance. Ability to translate business issues into data analysis objectives. Understands latest techniques in statistical data analysis. Required Experience: Master's or PhD degree in Statistics, Mathematics, Computer Science, or other analytical related field required. Excellent problem solving, analytical and quantitative analysis skills. Experience with Python or other statistical software language/application. Experience with AWS and its Data Science stack (Sagemaker, Glue, Athena, etc.) Experience with SQL in data warehouse environment. Working knowledge of Microsoft Office applications. Minimum 5 years data analysis experience. Excellent interpersonal, verbal and written communication skills. Experience working with senior management in presenting reports/making recommendations. Models the American Century Investments Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, Competitively Driven, Adheres to the highest ethical standards and business practices, and Supports a culture of compliance Preferred: Knowledge of Financial Services industry or Direct to Consumer, ideally of the Asset Management space. 5+ years of experience building and implementing statistical models. 2+ years of experience managing projects, programs or vendors. For New York based candidates, the salary range for this role is $139,000.00 - $167,000.00. All offers are based on various factors including but not limited to a candidate's location, skills, experience, and relevant education and/or training. This position is eligible for cash incentive providing the potential to earn more. Additional Requirements: Employees are required to be in the office on a scheduled frequency. Adherence to this schedule is essential to fulfilling the expectations of the role. American Century Investments is committed to complying with the Americans with Disabilities Act and all other applicable Equal Employment Opportunity laws and regulations. As such, American Century strives to provide a reasonable accommodation to any qualified individual under the ADA to perform essential job functions. American Century Investments believes all individuals are entitled to equal employment opportunity and advancement opportunities without regard to race, religious creed, color, sex, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, gender, gender identity, gender expression, age for individuals forty years of age and older, military and veteran status, sexual orientation, and any other basis protected by applicable federal, state and local laws. ACI does not discriminate or adopt any policy that discriminates against an individual or any group of individuals on any of these bases. #LI-Hybrid ©2019 American Century Proprietary Holdings, Inc. All rights reserved.

EquipmentShare is Hiring a Sr. Data Scientist (Operations Research) EquipmentShare is searching for a Sr. Data Scientist specializing in Operations Research (OR) to join our team. This position is fully remote. Primary Responsibilities Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts. We think the industry is ripe for change, and we're pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively. As a Sr. Data Scientist specialized in OR in our small and quickly growing team, you will play a major role in this effort. In particular, you will Create and enhance fleet management practices across the company through analytical techniques Develop, from scratch, simulation experiments that lead to implemented optimization algorithms to solve our complex supply chain problems Assist in identifying key KPIs and metrics to measure our company's supply chain effectiveness Help to identify the highest value next opportunities for OR within a big greenfield space, work cross-functionally to plan and build, and measure your significant business impact via experimentation Why We're a Better Place to Work Competitive compensation packages 401 (k) and company match Health insurance and medical coverage benefits Unlimited paid time off Generous paid parental leave Volunteering and local charity initiatives that help you nurture and grow the communities you call home Stocked breakroom and full kitchen (corporate HQ) State of the art onsite gym (corporate HQ)/Gym stipend for remote employees Opportunities for career and professional development with conferences, events, seminars, continued education About You Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that's long been resistant to change. Skills & Qualifications Minimum Qualifications: Graduate degree or equivalent practical experience in statistics, computer science, applied math, operations research or related field 4+ years working on technology-powered products and projects within the OR, supply chain optimization, or data science roles Demonstrated understanding of the techniques and methods of modern algorithm development Strong cross-functional communication skills Must be qualified to work in the United States - we are not sponsoring any candidates at this time EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #LI-Remote

GlobalLogic is hiring a Lead Data Scientist / ML Engineer for one of largest mobile communications customer. #LI-VS6 Requirements * Bachelor or Masters degree in highly quantitative field (computer science, or electrical engineering, mathematics, statistics) or equivalent domain specific experience in lieu of a degree * Proficient in machine learning data workflows, data collection methodologies, and data analysis * Experience with architecting, designing, developing software solution in Azure and on-prem environments * Certifications AI / ML and Azure Cloud platforms Job responsibilities * 7 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting * 5 plus years of applied experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance. * 5 plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. * 3 plus years of experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and On- premise environments * Expertise with SQL, no SQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.) * Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations. * Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects. * Expertise with scaling pilot machine learning solutions to a large scale production environment * Expertise with visualization tools such as PowerBI, D3JS etc. * Excellent written and verbal communication skills. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

**Summary /** **O** **bjectiv** **e** Serve as the technical expert and project manager for the annual funding, accounting, and compliance requirements for defined benefit pension plans. **R** **espo** **nsi** **bili** **t** **ies** + Leverage tools and resources to provide clients with innovative and effective solutions + Assist in the development and delivery of quality client communication and deliverables in support of Senior Consultants + Prepare and manage internal project deadlines + Prepare, technically review, and serve as primary contact to clients on annual service offerings + Review pension benefit calculations in accordance with plan provisions, Internal Revenue Code, ERISA, and other legal regulations + Oversee annual employee pension statement projects + Assist in completing and managing non-routine client work such as plan design, plan termination, benefit statements, and other special projects + Assist in the development and training of student-level staff **Skills & Qualifications** - Bachelor degree in math, actuarial science, or other related field - One or more credentials from the Society of Actuaries or Joint Board of Enrolled actuaries required - If not fully credentialed, pursuit of FSA is required - ProVal experience a strong plus - Project management experience - Strong communication skills, including client consulting and presentations _Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website._ Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").

*Senior (Lead) Data Engineer * *Responsibilities: * · *Lead the design, development, and implementation of scalable data pipelines and ELT processes using Databricks, DLT, dbt, Airflow, and other tools. * · *Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions. * · *Optimize and maintain existing data pipelines to ensure data quality, reliability, and performance. * · *Develop and enforce data engineering best practices, including coding standards, testing, and documentation. * · *Mentor junior data engineers, providing technical leadership and fostering a culture of continuous learning and improvement. * · *Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to business operations. * · *Stay up to date with the latest industry trends and technologies, and proactively recommend improvements to our data engineering practices. * *Requirements:* · *8+ years of experience in data engineering and/or architecture, with a focus on big data technologies. * · *Extensive production experience with Databricks, Apache Spark, and other related technologies. * · *Familiarity with orchestration and ELT tools like Airflow, dbt, etc. * · *Expert SQL knowledge. * · *Proficiency in programming languages such as Python, Scala, or Java. * · *Strong understanding of data warehousing concepts. * · *Experience with cloud platforms such as Azure, AWS, Google Cloud. * · *Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. * · *Strong communication and leadership skills, with the ability to effectively mentor and guide team members. * *Preferred Qualifications: * · *Experience with machine learning and data science workflows. * · *Knowledge of data governance and security best practices. * · *Certification in Databricks, Azure, Google Cloud or related technologies. * Job Types: Full-time, Contract Pay: $70.00 - $80.00 per hour Benefits: * Dental insurance * Health insurance * Vision insurance Schedule: * Day shift Experience: * Databricks: 3 years (Preferred) * Spark: 3 years (Preferred) Ability to Relocate: * Kansas City, MO 64111: Relocate before starting work (Required) Work Location: In person

This is a remote, part-time data analyst role. You'll build Excel models that simulate the work data analysts perform in real business settings-ranging from dashboarding and trend analysis to KPI tracking and reporting. Work is asynchronous and project-based, with ~10 hours/week expected for active projects. Why Apply Excellent Compensation - Min. $35/hour, with top rates exceeding $75/hour Startup Exposure - Work with a YC-backed company creating next-gen AI training sets Flexible Role - Remote and asynchronous workflow Responsibilities Build Excel dashboards, trend analyses, and summary tables for real-world business scenarios Simulate workflows like weekly reporting, cohort analysis, and ad hoc business questions Translate unstructured prompts into clean, logical data stories Required Qualifications Experience in data analysis, business intelligence, or analytics Proficiency in Excel (pivot tables, charts, formulas) Familiarity with business metrics and insight-driven reporting Preferred Qualifications Exposure to SQL, Python, or BI tools (e.g., Tableau, Power BI) Degree in Data Analytics, Data Science, Econometrics, or related field Degree (completed or expected) from T50 Undergrad/T20 MBA

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

Summary / Objective Serve as the technical expert and project manager for the annual funding, accounting, and compliance requirements for defined benefit pension plans. Responsibilities Leverage tools and resources to provide clients with innovative and effective solutions Assist in the development and delivery of quality client communication and deliverables in support of Senior Consultants Prepare and manage internal project deadlines Prepare, technically review, and serve as primary contact to clients on annual service offerings Review pension benefit calculations in accordance with plan provisions, Internal Revenue Code, ERISA, and other legal regulations Oversee annual employee pension statement projects Assist in completing and managing non-routine client work such as plan design, plan termination, benefit statements, and other special projects Assist in the development and training of student-level staff Skills & Qualifications • Bachelor degree in math, actuarial science, or other related field • One or more credentials from the Society of Actuaries or Joint Board of Enrolled actuaries required • If not fully credentialed, pursuit of FSA is required • ProVal experience a strong plus • Project management experience • Strong communication skills, including client consulting and presentations Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

The Senior Data Modeler is responsible for designing, developing, and optimizing semantic models that enable robust reporting, analytics, and data products. Key Responsibilities: * Design and implement semantic models using PowerBI and transition SSAS models to PowerBI. * Build models by working with various data platforms, predominantly Databricks and SQL Server. * Responsible for enhancing model and query performance, and partner with data engineers to design tables for optimal performance. * Document data models, mappings, and business rules using Alation and other tooling. * Work with stakeholders to elicit requirements, and mentor junior data modelers and data engineers in the appropriate use of BI tooling. * Provide leadership, guidance and instruction to less experienced staff * Responsible for QA/QC adherence * Responsible for compliance with company and site safety policies * Performs other duties as assigned * Complies with all policies and standards Requirements: * Bachelor's degree in Computer Science, Management Information Systems, Engineering or related field and 8 years of experience in data modeling with a focus on PowerBI or SSAS required * Advanced knowledge of AQL, DAX and M Query * Familiarity with semantic layer platforms is highly desirable * Solid understanding of database design principles, data warehousing concepts and ETL/ELT processes * Experience with cloud environments like Azure * Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills * Excellent verbal and written communication skills * Ability to work methodically and analytically in a quantitative problem-solving environment * Demonstrated critical thinking skills * Advanced experience in Microsoft Office Suite (Word, Excel, PowerPoint) Job Types: Full-time, Contract Pay: $60.00 - $70.00 per hour Benefits: * Dental insurance * Health insurance * Vision insurance Schedule: * 8 hour shift * Monday to Friday * No nights * No weekends Experience: * Data modeling: 3 years (Preferred) Ability to Relocate: * Kansas City, MO 64114: Relocate before starting work (Required) Work Location: In person

Summary / Objective Serve as the technical expert and project manager for the annual funding, accounting, and compliance requirements for defined benefit pension plans. Responsibilities * Leverage tools and resources to provide clients with innovative and effective solutions * Assist in the development and delivery of quality client communication and deliverables in support of Senior Consultants * Prepare and manage internal project deadlines * Prepare, technically review, and serve as primary contact to clients on annual service offerings * Review pension benefit calculations in accordance with plan provisions, Internal Revenue Code, ERISA, and other legal regulations * Oversee annual employee pension statement projects * Assist in completing and managing non-routine client work such as plan design, plan termination, benefit statements, and other special projects * Assist in the development and training of student-level staff Skills & Qualifications * Bachelor degree in math, actuarial science, or other related field * One or more credentials from the Society of Actuaries or Joint Board of Enrolled actuaries required * If not fully credentialed, pursuit of FSA is required * ProVal experience a strong plus * Project management experience * Strong communication skills, including client consulting and presentations Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. At Ascensus, we aspire to make a difference for others. We are a technology-enabled services company that helps people save for a better future through our network of institutional, financial advisor, and state partners. Our culture is guided by sound principles, is committed to high standards, operates with transparency, and welcomes diversity-housed within our Core Values: People Matter. Quality First. Integrity Always. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").