At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have an exciting opportunity for you to join our expanding area of Prognostics. Are you passionate about leveraging modern day data science methodologies/tools to study and predict the degradation or occurrence of a problem in a vehicle component/system? Would you love to accelerate our efforts to build amazing experiences and software products in the Connected Vehicles space - with data? We are seeking top-tier Data Scientists/Engineering professionals who are data driven, self - motivated and detail oriented to help develop and deliver breakthrough Prognostic Features What you'll do... Own the process for prognostic feature development from conceptual to feature deployment to our production vehicles. Develop next -gen methodologies for electric/ICE vehicle prognosis/fault tolerance control and integration. Develop, validate and implement prognostic algorithms by leveraging connected vehicle data to provide integrated hardware and software prognostics solutions to our customers. Develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models on hardware/software in loop benches, prototype vehicles. Interact with subject matter experts to understand component/system functions, leverage existing connected vehicle data to model on-board and off-board prognostics algorithms. Operate cross-functionally to ensure successful code implementation on production vehicles. Minimum Requirements M.Sc in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience. 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 3+ Experience with Python (and related modules), SQL 3 + Experience with embedded controls, onboard Diagnostic, Sensor Processing, General First Principles Physics Modeling and simulation using numerical computational tool (e.g. MATLAB, ATI, Simulink) 3+ Experience with Digital Signal Processing (DSP) data structures, algorithms, and software engineering principles. Our preferred requirements Familiarity working with Automotive prognostics feature development using connected vehicle data. 3+ Experience in application of statistical and machine learning methods e.g., ANOVA, PCA, clustering methods, causal inference, time series forecasting, random forest, multi-variate analysis, neural networks, etc. Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development. Experience in software development for automotive controls with hands on experience using MATLAB for post processing large scale data and understanding of programming fundamentals and experience with C++ programming in embedded environments. ATI and ETAS calibration tool familiarity Self-motivated with excellent verbal and written skills. Highly credible in organizational, time management, decision making and problem-solving skills. Strong analytical, excellent interpersonal and communication skills required. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: This position is a range of salary grades 6-8 . Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Hybrid Requisition ID: 33096

Our Opportunity: We are looking for a Data Scientist III at our facility in Plantation, Florida to conceptualize, formulate, prototype, and implement an integrated framework for assessing casual relationships across variables and metrics in our supply chain network. What You'll Do: <ul><li>Design experiments using advanced simulation capabilities and A/B testing.</li><li>Be a subject matter expert in basic and advanced statistical techniques.</li><li>Deep dive big Supply Chain data to explain change, find hidden opportunity, and provide recommendations.</li><li>Implement process improvement initiatives that drive change to metrics and streamline the Supply Chain.</li><li>Develop algorithms and scripts for production systems.</li><li>Be a subject matter expert for Supply Chain data and processes.</li><li>Partner with Supply Chain's functional areas (Supply Planning, Network Planning, Demand Planning, and Transportation) to provide insight and promote action.</li><li>Telecommuting permitted up to 2 days per week.</li></ul> What You'll Need: <ul><li>Master's degree in Industrial Engineering, Supply Chain, Information Systems, or related field and 4 years of experience.</li><li>Experience must include the following: developing and implementing causal inference, counterfactual reasoning, intervention analysis, and machine learning solutions for large scale applications;</li><li>Python/R;</li><li>SQL;</li><li>Advanced mathematics and statistics;</li><li>Translating complex data sets and research into simple business recommendations;</li><li>Navigating complex frameworks and coordinating with IT and BI business partners;</li><li>Using collaborative tools (Git and Confluence);</li><li>Supply Chain, E-commerce, retail, or startup experience;</li><li>Operations research; and</li><li>Industrial engineering fundamentals.</li><li>Telecommuting permitted up to 2 days per week.</li><li>The position is eligible for the Employee Referral Program.</li></ul> Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Position Purpose:
Responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation.
Perform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs.
Designs and develops data models to predict member outcomes or future impact of key member decisions.
Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs.
Conduct exploratory data analysis from complex data sources and build key data sets to support company mission operational analysis.
Evaluate and design experiments to monitor key metrics and identify improvement opportunities.
Develop of mathematical and statistical models to distinguish relevant content or events and recognize patterns.
Participate in presentations and communicate results of research analysis and findings.
Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.
Create analysis and data reconciliation through SAS, R and other tools, to include healthcare provider data, claims data, membership data.
Knowledge/Experience:
Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1+ years of experience or Bachelor’s degree and 3+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL.
Pay Range: $67,400.00 - $121,300.00 per year
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law. Total compensation may also include additional forms of incentives.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. #J-18808-Ljbffr

Data Scientist Jobs in Fort Lauderdale, FL

Data Scientist Iii
July 24, 2024

Data Scientist Prognostics
July 23, 2024

Data Scientist Prognostics
July 20, 2024

Data Scientist Iii
July 13, 2024

Data Scientist I
July 9, 2024

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Data Scientist Jobs in Fort Lauderdale, FL

Data Scientist IiiJuly 24, 2024

Data Scientist PrognosticsJuly 23, 2024

Data Scientist PrognosticsJuly 20, 2024

Data Scientist IiiJuly 13, 2024

Data Scientist IJuly 9, 2024