Data Scientist, Merative US LP, Ann Arbor, MI and various unanticipated client sites throughout the US (100% telecommuting permitted): Develop healthcare models using state-of-the-art machine learning algorithms, including libraries such as scikit-learn, SHapley Additive exPlanations (SHAP), TensorFlow or MLlib. Collect and analyze information such as medical records or billing information to extract useful and actionable insights to inform clients of problems. Create documents as needed to support and perform communications with internal and external clients, including dashboards, presentations, or methodology documentation. Explain the findings to non-experts so they can understand and use the high-level methodologies. Provide input to stakeholders based on business use cases to make decisions when multiple approaches are possible. Work on planning, designing, implementation, testing, deployment, and day-to-day operation of entire research and software development cycle. Design, write, test, debug, and deploy high-quality software to implement the statistical methodologies and machine learning models for various healthcare datasets. Perform adjustments to the standard technique so that refinements and new methodologies are developed with results compared to traditional approaches. Develop expertise with existing methodologies to architect, design and implement new functionality and product enhancements. Develop algorithms and production level code with scalable software systems that run on cloud platforms as well as on-prem solutions. Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related. One (1) year of experience must include utilizing Python, Pyspark, Statistical Analysis System (SAS), Machine Learning (scikit-learn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Please send resumes to <a href="mailto:recruitad@us.ibm.com">recruitad@us.ibm.com</a>. Applicants must reference D143 in the subject line. recblid 1utzj7rnq24jznwpzmijw9920kecp0 <img src='https://b.recruitology.com/beacon/view/1utzj7rnq24jznwpzmijw9920kecp0/'/>

Base Pay Range: $67,100.00 - $114,100.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/DivisionThe Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.Job Description/Preferred QualificationsWe are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes.Responsibilities for Data Scientist/ML Engineer:Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scaleResearch and devise innovative statistical models/ML models for data analysisDevelop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniquesUse predictive modeling to increase and optimize customer service experience and supply chain optimizationIdentify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data setsWork with business partners throughout the organization to find opportunities for using company data to drive solutionsWorking with project managers to establish objectives for AI systemsMinimum QualificationsBachelor's degree (or equivalent) in computer science, statistics, applied mathematics, or related fieldExperience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry3+ years of relevant work experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn)Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM, NB, Decision TreesExpertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorchThis is a hybrid role and will be based out of our Midwest HQ in Ann Arbor, MI.The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at or at +1-408-352-2808 to request accommodation.#J-18808-Ljbffrby Jobble

Base Pay Range: $67,100.00 - $114,100.00 Annually Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: <ul><li>Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale</li><li>Research and devise innovative statistical models/ML models for data analysis</li><li>Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques</li><li>Use predictive modeling to increase and optimize customer service experience and supply chain optimization</li><li>Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets</li><li>Work with business partners throughout the organization to find opportunities for using company data to drive solutions</li><li>Working with project managers to establish objectives for AI systems</li></ul> Minimum Qualifications <ul><li>Bachelor's degree (or equivalent) in computer science, statistics, applied mathematics, or related field</li><li>Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry</li><li>3+ years of relevant work experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn)</li><li>Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM, NB, Decision Trees</li><li>Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch</li><li>This is a hybrid role and will be based out of our Midwest HQ in Ann Arbor, MI.</li></ul> The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Data Scientist Jobs in Ann Arbor, MI

Data Scientist
April 22, 2024

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April 22, 2024

Data Scientist Mlai Hybrid
April 21, 2024

Data Scientist Statistical Programmer
April 8, 2024

Data Scientist Statistical Programmer
April 4, 2024

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Data Scientist Jobs in Ann Arbor, MI

Data ScientistApril 22, 2024

Data Scientist Mlai HybridApril 22, 2024

Data Scientist Mlai HybridApril 21, 2024

Data Scientist Statistical ProgrammerApril 8, 2024

Data Scientist Statistical ProgrammerApril 4, 2024