<h5>An exciting career awaits you </h5> At MPC, were committed to being a great place to work one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. <h5>Position Summary </h5> We are seeking a highly skilled Data Scientist focused on Machine Learning and MLOps to join our dynamic team. In this role, you will independently handle medium complexity data science projects, engaging with stakeholders to understand requirements and design optimized machine learning models. You will apply advanced statistical methods to extract actionable insights from large datasets, collaborate with Business Intelligence professionals, and develop custom data algorithms. Your expertise will be crucial in deploying models into production environments, providing peer reviews, and advising on best practices in data collection, model training, and MLOps. Additionally, you will have the opportunity to contribute to high complexity projects under the guidance of Senior Data Scientists. This position offers the opportunity to contribute significantly to our data-driven decision-making processes and drive innovation within the organization. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidates experience and qualifications. <h5>Key Responsibilities </h5> <ul><li>Independently handles medium complexity data science projects. </li><li>Contribute to high complexity projects under the guidance of Senior Data Scientists. </li><li>Engages with stakeholders to understand project requirements. </li><li>Designs, tests, and optimizes machine learning models. </li><li>Applies advanced statistical methods to extract insights from data. </li><li>Collaborates with Business Intelligence professionals to translate insights into business recommendations. </li><li>Uses big data technologies to handle and process large datasets. </li><li>Develops custom data algorithms and models for specific business needs. </li><li>Provides support in deploying models in production environments. </li><li>Contributes to peer reviews and code assessments. </li><li>Advises on best practices in data collection and model training. </li></ul> <h5>Education and Experience </h5> <ul><li>Bachelors Degree in Information Technology, relevant field or equivalent experience. </li><li>2+ years of relevant experience required </li></ul> <h5>Skills </h5> A/B Testing - A/B testing, also known as split testing, is a method of comparing two versions of a webpage, app, email, or other digital asset to determine which one performs better. In an A/B test, two variantsA and Bare compared by randomly assigning users to either version and analyzing their behavior to determine which variant is more effective. The goal is often to optimize for a specific metric, such as click-through rate, conversion rate, or engagement. Artificial Intelligence (AI) - Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Business Acumen - Applies knowledge of MPCs business, industry and the marketplace to advance the organizations goals. Makes decisions and recommendations clearly linked to MPCs strategy. Data Analysis - The process of measuring and managing organizational data, identifying methodological best practices and conducting statistical analyses. Data Mining - Data mining is sorting through data to identify patterns and establish relationships. Data mining parameters include: Association - looking for patterns where one event is connected to another event Sequence or path analysis - looking for patterns where one event leads to another later event Classification - looking for new patterns Clustering - finding and visually documenting groups of facts not previously known Forecasting - discovering patterns in data that can lead to reasonable predictions about the future Data mining techniques are used in mathematics, cybernetics, and genetics. Web mining, a type of data mining used in customer relationship management [CRM], takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior. Data Preparation - Data preparation, data wrangling, also known as data munging, refers to the process of cleaning, structuring, and transforming raw data into a suitable format for analysis or other purposes. It involves tasks such as handling missing values, standardizing formats, and merging datasets to ensure data quality and usability. Data Visualization - Skill in designing and creating compelling visualizations and data stories that effectively communicate insights and facilitate decision-making. Deep Analytics - Deep analytics involves sophisticated methods and tools to analyze complex datasets, extracting valuable insights and patterns that go beyond traditional statistical approaches. These techniques often include machine learning algorithms, predictive modeling, data mining, and other advanced statistical methods, enabling organizations to gain deeper understanding, make informed decisions, and uncover hidden relationships within their data. Advanced analytics goes beyond descriptive analytics by predicting future trends, optimizing processes, and providing actionable intelligence for strategic decision-making. Deep Learning - A subset of machine learning involving neural networks with deep layers, enabling the model to learn and make intelligent decisions from large, complex datasets. Ethics & Privacy in AI - The practice of ensuring ethical considerations and privacy compliance are integrated into AI and machine learning projects, including issues related to data use, model bias, and transparency. Machine Learning - Machine learning is a branch of Artificial Intelligence (AI) and computer science that involves the development of algorithms and statistical models that enable computers to progressively improve their performance on a specific task through learning from data, without being explicitly programmed. In essence, machine learning algorithms learn from patterns and relationships in data to make predictions, decisions, or identify patterns, often with the goal of optimizing some objective function or improving performance over time. Machine Learning Operations - Machine learning techniques involve the use of algorithms and statistical models to enable computer systems to improve their performance on a specific task over time, without being explicitly programmed. These techniques encompass a range of approaches, including supervised learning, unsupervised learning, and reinforcement learning, to extract patterns and insights from data for making predictions or decisions. Natural Language Processing (NLP) - Proficiency in analyzing and extracting insights from unstructured text data, including sentiment analysis, topic modeling, and language understanding. Predictive Modeling - Techniques used to predict future outcomes based on historical data, using statistical algorithms and machine learning techniques. Responsible Innovation - Knowledge of ethical considerations related to data usage, data-driven technologies and strategies to mitigate biases in data-driven decision-making. Statistical Analysis - Statistical Analysis is used in support of decision-making and includes fundamental principles such as data collection and sampling, random variable types and probability distributions, sampling and population distributions, making estimations from samples, hypothesis testing, and statistical process control. As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: San Antonio, Texas Job Requisition ID: 00012796 Location Address: 539 S Main St Education: Employee Group: Full time Employee Subgroup: Regular Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com.The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability

Taking care of people is at the heart of everything we do, and we start by taking care of you, our valued colleague. A career at Sedgwick means experiencing our culture of caring. It means having flexibility and time for all the things that are important to you. Its an opportunity to do something meaningful, each and every day. Its having support for your mental, physical, financial and professional needs. It means sharpening your skills and growing your career. And it means working in an environment that celebrates diversity and is fair and inclusive.A career at Sedgwick is where passion meets purpose to make a positive impact on the world through the people and organizations we serve. If you are someone who is driven to make a difference, who enjoys a challenge and above all, if youre someone who cares, theres a place for you here. Join us and contribute to Sedgwick being a great place to work.Great Place to WorkMost Loved WorkplaceForbes Best-in-State EmployerData Scientist (REMOTE)Primary Purpose of this Role: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.Essential Responsibilities May IncludeExecute data science projects as identified by Sr Data Scientists, leadership, and stakeholdersHelp to build, prototype, and deploy machine learning models in sandbox and production environmentsProduce reports to communicate metrics and outcomes of stakeholder interestAssist with developing and maintaining end-to-end ETL data pipelinesWork to explore new internal data sources and their utility within projectsCommunicate modeling challenges, findings, and outcomes to stakeholdersQualificationsInsurance claims knowledge preferredMinimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineeringExperience writing Python or R code, and notebook environmentsKnowledge of writing code in Python or R, and notebook environmentsKnowledge of common unsupervised/supervised ML techniquesTaking Care of YouCareer development and promotional growth opportunitiesA diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more#datascience#datascientistSedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.Taking care of people is at the heart of everything we do. Caring countsSedgwick is a leading global provider of technology-enabled risk, benefits and integrated business solutions. Every day, in every time zone, the most well-known and respected organizations place their trust in us to help their employees regain health and productivity, guide their consumers through the claims process, protect their brand and minimize business interruptions. Our more than 30,000 colleagues across 80 countries embrace our shared purpose and values as they demonstrate what it means to work for an organization committed to doing the right thing one where caring counts. Watch this video to learn more about us. (https://www.youtube.com/watch?v=ywxedjBGSfA)

MMS is an innovative, data-focused CRO that supports the pharmaceutical, biotech, including clinical trial transparency, and medical device industries with a proven, scientific approach to complex trial data and regulatory submission challenges. Strong industry experience, technology-enabled services, and a data-driven approach to drug development make MMS a valuable CRO partner, creating compelling submissions that meet rigorous regulatory standards. With a global footprint across four continents, MMS maintains a 97 percent customer satisfaction rating, and the company has been recognized as a leading CRO in Global Health & Pharmas international awards programs for the last three consecutive years. For more information, visit www.mmsholdings.com or follow MMS on LinkedIn. Roles & Responsibilities: <ul> <li>Proficiency in data science delivery methodologies </li><li>Responsible for key activities and deliverables from pre-discovery, delivery and value realization </li><li>Educate stakeholders on Data Science methodology to support the development of appropriate goals and objectives </li><li>Responsible for conducting peer reviews, validation steps for others within the team </li><li>Strong knowledge of the key technical and non-technical roles needed to support Data Science project end-to-end </li><li>Strong project management knowledge </li><li>Understanding of Data Science solution architectures, databases, programming tools and visualization technologies </li><li>Strong experience with key programming and visualization tools like Java, R, SQL and Power BI </li><li>Strong knowledge of data structures, data sources, and data engineering tools and techniques </li><li>Provide guidance on the decision to choose best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and applications to achieve goals and objectives </li><li>Ability to engage with stakeholders throughout the project </li><li>Support the effort to determine stakeholders needs and ensures business value is realized </li><li>Regularly communicate, advise, and collaborate with project manager </li><li>Support deployment teams to deliver decision support visualizations and dashboards </li></ul>Requirements: <ul><li>Bachelors in Engineering, Statistics or Computer Science with 5 or more years' related work experience or a Master's degree with typically 3 or more years' or a PhD degree or an equivalent combination of education and experience </li><li>Understanding of CROs and/ or Health Systems and scientific and clinical data/terminology, and the drug development process </li><li>Experience in preparing, correcting, modifying and analyzing data sets using complex analytic techniques and statistical methodology </li><li>Ability to develop R and/or Python and SQL scripts for data manipulation and analysis </li> <li>Knowledge of R-Shiny preferred </li><li>Moderate experience with machine learning and natural language processing </li><li>Good communication skills and wiliness to work with others to clearly understand needs and solve problems </li><li>Ability to develop processes and standard work </li><li>A tolerance for organizational complexity and work collaboratively </li><li>In-depth understanding of database structure principles </li><li>Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role </li><li>Excellent problem-solving skills </li><li>App development desired </li> </ul>

The Job Market is Challenging due to almost 300,000 Tech Layoffs since October 2022 due to which thousands of laid off Techies are competing with existing Jobseekers. Entry level Job seekers struggle to get responses to their applications forget about getting client interviews. As the Saying goes "when the Going gets tough the Tough get going" Candidates who want to make a tech career they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010 Synergisticit has helped Jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers. All Positions are open for all visas and US citizens We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs. Clients now post covid can also hire remote workers which increases even more competition for jobseekers. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, PayPal, western union, Client, visa, Walmart lab s etc. to name a few. We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in IT Industry We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We also offer optionally Skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then they should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours. please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/ We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 https://youtu.be/Rfn8Y0gnfL8'si=p2V4KFv5HukJXTrn https://youtu.be/-HkNN1ag6Zk'si=1NRfgsvL_HJMVb6Q https://www.youtube.com/watch?v=OAFOhcGy9Z8 https://www.youtube.com/watch?v=EmO7NrWHkLM https://www.youtube.com/watch?v=NVBU9RYZ6UI https://www.youtube.com/watch?v=Yy74yvjatVg For preparing for interviews please visit https://www.synergisticit.com/interview-questions/ We are looking for the right matching candidates for our clients Please apply via the job posting REQUIRED SKILLS For Java /Full stack/Software Programmer <ul> <li> Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT</li> <li> Highly motivated, self-learner, and technically inquisitive</li> <li> Experience in programming language Java and understanding of the software development life cycle</li> <li> Project work on the skills</li> <li> Knowledge of Core Java, JavaScript, C++ or software programming</li> <li> Spring boot, Microservices, Docker, Jenkins and REST API's experience</li> <li> Excellent written and verbal communication skills</li> </ul> For data Science/Machine learning Positions REQUIRED SKILLS<ul> <li> Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT</li> <li> Project work on the technologies needed</li> <li> Highly motivated, self-learner, and technically inquisitive</li> <li> Experience in programming language Java and understanding of the software development life cycle</li> <li> Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools</li> <li> Excellent written and verbal communication skills</li> </ul> Preferred skills: NLP, Text mining, Tableau, PowerBI, TensorFlow If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

Data Scientist Jobs in Toledo, OH

Data Scientist Machine Learning
September 2, 2024

Data Scientist Remote
August 19, 2024

Senior Data Scientist Remote
August 16, 2024

Entry Level Python Programmerdata Scientistanalyst
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Data Scientist Jobs in Toledo, OH

Data Scientist Machine LearningSeptember 2, 2024

Data Scientist RemoteAugust 19, 2024

Senior Data Scientist RemoteAugust 16, 2024