Data Science Internship Jobs in Toledo, OH

Role Overview: As an Analytics and Data Intern, you will dive into the world of data, working alongside our talented team to uncover insights and drive business strategies. This is a fantastic opportunity to gain hands-on experience with cutting-edge technologies and make a real impact. Educational Background: Pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Technical Skills: Proficiency in SQL for database management and querying. Experience with NoSQL databases such as MongoDB, Cassandra, or DynamoDB. Familiarity with vector databases like Pinecone, Weaviate, or Milvus. Experience with Microsoft Azure services, including Azure SQL Database, Azure Data Factory, and Azure Machine Learning. Familiarity with programming languages such as Python or R. Analytical Skills: Strong analytical and problem-solving abilities. Ability to identify patterns and trends in data sets. Data Management: Experience in data collection, cleaning, and organization. Understanding of data preprocessing, feature engineering, and data pipeline development. Communication Skills: Excellent communication and interpersonal skills. Ability to create and present clear and informative reports and visualizations. Additional Skills: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., Apache Spark, Hadoop).

Balchem Corporation develops, manufactures, and markets specialty ingredients that improve and enhance the health and well-being of life on the planet, providing state-of-the-art solutions and the finest quality products for a range of industries worldwide. Our corporate headquarters is located in Montvale, New Jersey and we have a broad network of sales offices, manufacturing sites, and R&D centers, primarily located in the US and Europe. Founded in 1967, Balchem is a publicly traded company (NASDAQ BCPC ) with annual revenues over $900 million and a market cap exceeding $4.0 billion. The company consists of three business segments: Human Nutrition & Health; Animal Nutrition & Health; and Specialty Products. Balchem employs over 1,400 people worldwide who are engaged in diverse activities, committed to developing the company into global market leadership positions. To learn more about our dynamic, stable and growing company, visit *************** POSITION SUMMARY: This position is based out of Defiance, OH and we do not offer relocation at this time. Seeking an onsite intern to support our Food and Beverage R&D organization assisting with Product Development and Applications (PD&A) at our Defiance, OH location for 20-40 hours a week. This position will report to the Site PD&A Manager and will participate in a wide variety of projects, with an emphasis on developing products and processes for the food and beverage markets. In this role, the candidate will be working at the interface between R&D and other departments or groups including manufacturing, supply chain, quality, sales, analytical labs, and other R&D groups. The working environment will include office, laboratory, pilot plant, and manufacturing environments. The scope of work will include development and improvement of new and existing processes and products, conducting lab scale and bench top experiments, new product commercialization, product characterization studies, qualifying new raw materials, application development, and performing analytical work. ESSENTIAL FUNCTIONS: Responsible for working safely in all situations, follows and enforces all safety policies, demonstrates safe behaviors including use of safety equipment and equipment safeguards, and champions the Balchem safety programs at each site. Follows GMP protocols, regulatory requirements, and work to ensure product compliance with regulatory bodies like FDA. Supports product development efforts in formulation, application, process development, process capability, and specification development. Participates in scale-up trials from pilot plant to commercial scale equipment being available at non-traditional hours for scale up trials, as needed. Assists in the preparation of presentations and reports to communicate results to key stakeholders. Performs other duties as assigned. May be assigned to one specific research project. Work environment can vary and consist of hot temperatures, slippery conditions, elevated noise level and large production machinery. REQUIREMENTS: Currently enrolled in under-graduate or graduate program in Food Science, Food Technology, Chemical Engineering, or related field Excellent communication, influencing, and critical thinking skills. Highly self-motivated individual comfortable working individually and able to manage multiple tasks and projects efficiently within the context of a fast-paced, busy environment. Proficient with computer skills, word processing, spreadsheet, and presentation applications, and be able to easily learn new applications. #IN Balchem is committed to a workplace culture that values and promotes diversity, inclusion, equal employment opportunities, and a work environment free of harassment and hostility.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders. Essential Responsibilities Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets Apply mathematical and statistical techniques for spatial and temporal data Develop and implement advanced predictive models Build data visualization, dashboards, and reports for internal and external customers Write and optimize efficient, maintainable code, collaborating with cross-functional teams Skills and Abilities Strong analytical skills with the ability to manipulate and analyze large datasets Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders Strong problem-solving skills with a focus on validation and accuracy of results Proficiency in programming languages such as Python and frameworks like PySpark Ability to work independently and as part of a team Ability to mentor team members and contribute to culture of continuous learning and improvement Experience in developing and optimizing data pipelines and ensuring data quality Qualifications and Experience Required B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field 7+ years of experience in data science 2+ Experience with programming languages such as Python and frameworks such as Pyspark Experience working with large and complex datasets Experience working with databases, such as Postgres, MySQL, SQL Server Track record of writing optimized, scalable code Desirable Background in robotics or related field and understanding of temporal and spatial data concepts Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Salary Range$167,000—$190,000 USD Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate! Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave with immediate eligibility as well as a phased return to work. Flexible vacation policy in addition to 18 paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

Under general supervision, this position has lead responsibilities for accessing, integrating, data compilation, data management, data analysis, data quality controls and reporting from various Molina Healthcare systems (e.g., QNXT, and Med Insight) and/or related external systems (e.g. CMS and State-specific). This position will conduct exploratory and discovery studies that include assessing requirements, current state gap analysis, comparison to best practices and presenting the finding and recommendations to management. The Data Analyst will be responsible to provide insight into data trends, drawing broad conclusions and create actionable management reports that can be used to identify opportunities to improve data quality and ensure data governance principles, rules, use and practices are maintained. The Data Analyst will run investigative queries, when appropriate, to help the Quality Assurance Analyst identify root causes to data issues. This resource may also be utilized for ad hoc data requests and/or assistance with special project management activities. Additional responsibilities may include creating presentations and other collateral in support of those same business requests. **Knowledge/Skills/Abilities** - Extract and compile various sources of information and large data sets from various systems or applications. - Contribute and adhere to all phases of the data development lifecycle including - capture data requirements, solution design, specifications, code and test phases (unit, acceptance). - Develop test plans and test cases, report test results and test analysis; analyze and recommend improvements based on testing results. - Develop and demonstrate ongoing support data controls that detect data defects. - Set up process for monitoring, tracking and trending information and data using various systems or applications. - Gather and monitor Data Quality KPIs in relation to Master Data Management requirements and Data Quality Controls tolerances - Research perform profiling tasks on data quality dimensions and analyze report results identifying opportunities and trends. - Prepare well organized, easily understood reports, analysis, and summary of findings for use by management - Work with internal, external and enterprise individuals as needed to research, develop and document new standard reports or processes. - Consolidate data from multiple sources using industry based tools or manually be able to process and profile data. - Conduct Peer Reviews. - Support team members and others when additional analytics are required. - Participates in special projects and initiatives that are designed to improve data quality. - Keeps abreast of industry best business practices and makes suggestions to management on how to improve current practices. - Performs special projects upon request.. **Required Experience** Bachelor's degree (BA or BS) in related field. **Required License, Certification, Association** At least 5 years in related data management field. Experience with MS Office applications, SQL and relational database required. Basic level of programming skill with SQL, scripting language such a as Python and/or PERL, or SAS. Alternate programming experience may substitute. **Preferred Education** BA or BS in Business, Statistics, Mathematics, Computer Science, Information Management, Information Technology or a related data management field. A Master's degree or certification as Certified Data Management Professional (CDMP), Microsoft SQL Server, Oracle Enterprise Management or related information management field. **Preferred Experience** Experience with multiple data systems, data conversion, data migration, data profiling, data modeling. Ability to use data cubes to extract data. Experience with Master Data Management (MDM), ETL, and/or Data Quality Management (DQM) platforms a plus To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $77,969 - $135,000 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise's known goals, reveal hidden opportunities, and achieve data superiority. The GDIA Manufacturing Analytics team develops data products, analytic software and provides insights to a broad range of skill teams and delivers value to Ford using critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques. As a Data Science Analyst, Complexity Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Complexity to align with their needs and processes to ensure relevancy of products. **What you'll be able to do:** + Accelerate the application of value-added analytics and machine learning into the portfolio of products for Complexity Analytics. + Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. + Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. + Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. + Act as a consultant to the business vs. an order taker. + Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt. **You'll have...** + Master's degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science + 2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis + Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization + 1+ year of experience delivering analytics solutions + 1+ year experience with Agile team methodology **Even better, you may have...** + PhD degree is preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field + Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory) + Proven experience with developing data products/solutions to support analytic applications in Ford's data ecosystem + Experience with Product Driven Operating Model or Agile Product Development Process + Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users + Comfortable working in an environment where problems are not always well-defined + Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner + Well-organized, independent, and ready to work with minimal supervision + Inquisitive, proactive, and interested in learning new tools and techniques + Demonstrated hands on experience with deploying data products and/or analytic models in Ford's on-prem and/or Google Cloud Platform + Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners + Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc. + Thorough understanding of the 'Common Data Model' standard published by Manufacturing 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 **************. \#LI-Hybrid **Requisition ID** : 41407

We're on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you're ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon you'll say it often. Join us and define tomorrow. The Amazon EU Student Programs Team is looking for ambitious students to join us at the heart of our core consumer business. As a Business Analyst Intern you will join one of our business intelligence, retail or seller services teams. The role provides an opportunity to understand Amazon business and processes, enhance analytical skills, and make significant business impact. Key job responsibilities - Working with operational, finance, retail and technical teams across the organization to identify opportunities, develop sound business cases and drive measurements of actions to continuously improve on the inputs and ultimately the outputs of the business. - Working with large volumes and big data, in a highly complex business. - Working with business intelligence tools, accessing and working with big data from multiple sources, and partnering with the business to identify strategic opportunities and deliver results. A day in the life Your paid 6-month internship includes: - Mentorship: we care about your career aspirations and strive to assign projects based on your interests. You can learn and be curious with access to unlimited virtual trainings on project management, personal brand, communication skills and many more. - Get involved: we have with over 13 Amazon Affinity Groups you can join and become an ally to a cause close to your heart (sustainability, diversity, LGBTQ+, mental and/or physical disabilities, local community initiatives, etc.) - Taking ownership of your career: because when you succeed, we all win. A successful internship, could lead to a full-time (graduate role) after finishing your university studies. About the team At Amazon Retail, we help improve the selection and shopping experience and offer customers around the world exciting products and deals. As a Business Analyst Intern, you will be part of one of our product categories which go from books to fashion, electronics to grocery, movies and music to toys and health & beauty, and everything in between. From a garage-based start-up in 1995 to a top global brand today, Amazon has evolved and made its way into our lives. Amazon Retail is at the heart of that journey. Join us and become part of it Basic Qualifications - Available to commence an internship between January and December 2025. Yes, our start dates are flexible! You should then be available for 6 months, full time (40h/week). - Pursuing a Bachelor's or Master's Degree, with an anticipated graduation date after the completion of your internship. - Experience with SQL, ETL or Python. - Fluent written and verbal communication in English (Level - C1 or higher). - Fluent written and verbal communication in Italian (Level - B2 or higher). - You will be based in Milan for the duration of the internship. A relocation package may be offered, subject to an eligibility criterion. Preferred Qualifications - Studies within Business, Marketing, Economics, Engineering, Business Analytics, Mathematics or similar fields. - Experience using databases with a large-scale data set. - Advanced Excel. Every day will be filled with developing new skills and achieving personal growth. Interested? Submitting your application takes less than 10 minutes and cover letters are not required. You will just need to attach your CV and answer a questionnaire. Selected candidates will be invited to an online assessment. If successful, you'll attend to two rounds of virtual interviews, which take place on the same day. Interviews consist of behavioural questions and a case study, focusing on our Leadership Principles. The entire recruitment process typically takes 3 to 4 weeks. Do note that the selection process and timelines are subject to change, and vary with role and location. EMEA Student Programs Teams Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (***************************************** to know more about how we collect, use and transfer the personal data of our candidates.

Who we are: We know what grocery shoppers will buy before they buy them. AdAdapted is a leading mobile ad solution for CPG and grocery retailers. We've created the largest network of grocery related apps, giving us unparalleled data around how consumers plan their shopping trips, and a unique ad platform that allows us to influence and track what goes on millions of American grocery lists. With our patented Add-It product, shoppers can add promoted products to their favorite digital shopping list with just one click, driving purchase intent for some of the world's largest CPG brands. Role Summary: As a Data Analyst you'll have the opportunity to learn modern data analysis tools and techniques. Data Analysts at AdAdapted are part of engineering; as such they work closely with the data engineers to ensure our data processes and pipelines are fast, efficient and providing the enrichment needed for in-depth analysis. We strive to create an environment that provides the support and mentorship needed to learn and grow while producing artifacts that will be used in our production systems. Tools that you will work with: Looker for our visualization layer BigQuery for our data warehouse MySQL/PostgreSQL for our platform data GCP Cloud Storage/AWS S3 for our data feed

FreightVerify is a supply chain technology company that provides real-time transportation visibility and business intelligence for global enterprise clients. Utilizing the latest IoT, data and AI technologies, FreightVerify provides a neutral platform that simplifies complex global supply chains through a common design language to leverage new and emerging tracking technologies. Job Summary Help build next generation web and mobile applications to transform the transportation industry. In this role, you will be responsible for business analysis, data analytics, and solution development on one or more strategic Client accounts and be a technical advisor for our Global Enterprise Customers on their connected Supply Chain and Logistics digital transformation projects. Note: This position is located in Ann Arbor, MI and requires onsite work. Primary Responsibilities: Customer-facing business process expert on Client platform Act as a subject matter expert in the area of supply chain to provide a high level of guidance for the development team Collaborate with business partners and customers to contribute to the product vision, roadmap, and comprehensive business requirements Work directly with business and technical customer resources on requirements gathering, technical design and customer success metrics for Client solution Scope technical work for implementation team, prioritizing customer requirements and dependencies Recommend controls by identifying problems; writing improved procedures Developing product specifications and requirements with strong collaboration with the Engineering team on providing voice of the customer feedback into the product Communication and documentation to be used by all stakeholders to understand platform features, functions, delivery status, and value Perform daily, weekly and monthly reviews and analyses of current processes using operational metrics and reports Suggest changes to senior management using analytics to support your recommendations. Actively participate in the implementation of approved changes Work closely with Customer Facing Lead to drive production adoption and value creation within responsible accounts Create informative, actionable and repeatable reporting that highlights relevant business trends and opportunities for improvement Prepare technical reports by collecting, analyzing and summarizing information and trends Strong collaboration with the Sales team on providing product values stories and building solution prototypes for proof of value demonstrations Develop innovative solution and service offerings based on industry and Client best practices to help grow revenue and customer value Constructs workflow charts and diagrams; studying system capabilities; writing specifications Ensure on-going customer success and customer expansion by driving achievement of post-launch KPIs and customer value Determines operational objectives by studying Client business functions; gathering information; evaluating output requirements and product feature needs Provide a high level of transparency and communication across the organization Recommend system enhancements based on business need and maintain positive customer relationships Contribute to the design, development, and planning for technology enhancements to solve complex business problems Qualifications A vital part of the role's competence is communication Preferred 5+ years of experience in Customer Facing Technical Consulting with Enterprise Level Customers (Automotive Preferred) Outstanding written and verbal ability, with both business and technical stakeholders Demonstrated experience with technical projects and system implementations Proven skill with verbal and written communication with both business and technical contacts Preferred experience with IoT related projects Bachelor's degree in Computer Science, Business Administration or other related preferred Specific expertise and practice of designing, describing, and managing the solution engineering in relation to specific business problems Can adequately describes how different components of business, information, and technology architectures are used in a solution; bridges the gap between business problems and technology solutions Experience and practice building process workflows, writing business and technical requirements, and communication of business results with given timeframes and resources Personal attributes Excellent communication skills Self-motivated and requires little oversight/direction Carries pride in ownership of desk & responsibilities Analytical skills and hands-on with data Works collaboratively Influences and negotiates Capable of effectively communicating details while maintaining vision of the ‘big picture' Problem solver and critical thinker

Renaissance Partners is a NYC based recruiting firm and trusted adviser to leading companies in the financial services, technology, retail and healthcare industries. Job Description As a Data Governance Analyst with a leading design and manufacturing company you will work across all areas of the company to ensure data quality, data management, data policies and risk management. In addition you will ensure data is profiled to identify data attributes for security, understand content and opportunities to improve it with standards. You will also work with various stakeholders to make recommendations to improve data quality, data standardization and data transformation. Responsibilities: Data usage/data management/data protection including. Perform data profiling of sources to assess data quality and work on mitigation strategies and cleansing solutions. Populate Metadata content and associate terms in the Business Glossary to develop the Informatica Enterprise Data Catalog. Resolve data issues in the appropriate forums and work cross functionally to develop solutions. Collaborate with Data, Analytics and IT teams and guide them on data standards and the use of Informatica tools. Identify relationships in data to assist in providing insights. Establish repeatable, sustainable processes to maintain data and metadata. Understand company and regulatory guidelines regarding data privacy, usage and retention (PII, GDPR, SPII). Deliver training and communications for new Informatica capability and Data Governance processes. Automate solutions to enable data protection for inter-related systems data. Utilize skills in Informatica Software: Data Quality, Profiling and Data. Management tools, SQL and Data discovery techniques. Qualifications Required: 8 + years of progressive responsibilities in Data Integration/Data Management Informatica experience including: Analyzer, MDM, EIC, EDL, EDC, BDM, IDQ, PowerCenter Skills in Java, NoSQL, HADOOP, IBM Data Stage/Quality Stage. Data Management tools, SQL and Data discovery techniques. Bachelor's Degree in Computer Science, Statistics, Finance or a related technical field. Preferred: Knowledge of Application Development Lifecycle. Strong collaboration and communications skills, ability to engage with others. Ability to resolve complex problems and break them down to create and implement an action plan. Ability to lead data related project activities. Self-Starter who can work in ambiguous situations and drive to a solution. Strong organizational skills and ability to advance multiple work streams concurrently. Ability to work within analytical frameworks in a Big Data environment (Data Lake, EDW, Data Warehouse architectures. Additional Information This is a contract position.

Full-time Description The Data & Research Analyst will assist in validating, comparing, reporting and analyzing organization and community data to assist the Community Impact team and partnering agencies with advanced analytics and other data products. In addition, the Data & Research Analyst will maintain the data collected and conduct statistical analyses while also completing ad hoc analyses as needed. Data collected will be extracted from operationally based systems, which requires the Data & Research Analyst to have a strong understanding of querying data for items such as mapping, budgets, performance, evaluation, population identifiers, test scores, health rankings and other dimensions of program performance. Additionally, the Data & Research Analyst will assist in identifying opportunities to improve reporting of quality, costs, and outcomes in support of both outside agencies and internal programs. The Data & Research Analyst role requires intermediate subject matter knowledge of statistical methods and research analysis for the completion of complex assignments. ESSENTIAL FUNCTIONS • Develop analysis and evaluations of reports including performance, quality, cost, and metadata analysis, data treatment, modeling, and maintenance. • Input of data visualization, report formats, and graphical representations of data intended for broad audiences and creation of mechanisms to extract and reorganize data from existing systems for storage and reporting in departmental databases. • Scientific and technical contributions to development of complex algorithms and methodologies while maintaining supporting documentation of data sources and reporting processes. • Utilize appropriate data quality, security, efficacy, and statistical best practices to assess reports and analysis, write findings and test datasets. • Assist in mining and scrubbing existing evaluation reports and data from multiple databases. • Research public and private statistical methodologies to assess aggregately aligned approaches for community. • Keep detailed records on all actions, processes and procedures for change management and adjustment of analytic techniques and ensure adherence to quality standards and contribute to improvement efforts. • Identify and apply for grant opportunities. • Actively participate and lead in local evaluation and measurement initiatives and activities. • Safeguard proprietary processes and methodologies. • Other duties as assigned. Requirements QUALIFICATIONS, KNOWLEDGE, SKILLS and ABILITIES • 4 years of experience, or a bachelor's degree and 3 years of experience in a Quantitative field such as Biostatistics, Public health, Computer Science, Economics, Engineering, Informatics, Evaluation & Measurement. Or a comparable combination of education and experience resulting in scientific, statistical, and technical expertise combining business, social and research data to drive decision-making. • Experience in and ability to review, create and interpret common coding languages (SQL, SAS, R, SPSS). • Intermediate experience implementing rigorous/proprietary research and evaluation methodologies and frameworks. • Experience with Data Warehousing and BI systems. • Ability to consistently meet deadlines in a fast-paced and changing environment with multiple competing tasks and priorities. • Support proficiency in the use of analytic and reporting tools such as Microsoft Excel, Tableau, Andar and any newly introduced systems. • Knowledge of appropriate statistical analysis using scientific methods and equations. EOE/M/F/D/V The United Way of Greater Toledo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Salary Description $60,000 - $70,000

About Outlier Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Mathematics experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Mathematics. Develop and answer Math-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Mathematics or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Mathematics experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

**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: ***********************************

Team Culture Great things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions and experiences because collectively we make a better, stronger team. Our team members collaborate closely with peers & cross functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership. We take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential. Benefits + Perks We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family's health through life's expected and unexpected events. Our Benefits Include: * Competitive Salary + Stock Options * Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending * Account (includes spouse + children) * Flexible Vacation Policy * Adaptable Working Schedule and Environment * Our Perks Include: * Casual Dress Attire * Hybrid work flexibility * Catered Lunches, Snacks and Beverages * Commuter Savings Program * Company Outings * Designated Volunteering Hours + Group Volunteer Events Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements. About Sight Machine, Inc. Sight Machine strengthens manufacturers by providing the industry's only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface. Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning manufacturing processes - making them more efficient, sustainable and absolute. Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the spirit of technology innovation and the down to earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future. At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers make products and develop solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and security. We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude. About the Data Scientist Role As a Data Scientist, you will sift through massive amounts of factory floor data to uncover insights into how customers make products and develop solutions to pressing business problems for some of the world's most iconic manufacturers and technology providers, including industry leaders like Microsoft, Siemens, and Databricks. If you are interested in complex solution-finding, strong communication skills, and ever-deepening subject matter expertise in manufacturing, AI/ML, and cutting-edge technologies, please apply for this position. You will drive sustainability and game-changing results for global leaders in manufacturing and continuously develop your skills as a pioneer in the Data Era. Why Join Sight Machine's Services Team Our team is a hungry, humble, smart group of data architects, data scientists, data engineers, software developers, and customer engagement managers who work collaboratively to solve some of the most complex challenges facing our manufacturing customers. We are laser-focused on trusting and empowering each other, working to solve today's problems (while knowing tomorrow will bring a few more), and getting a little better every day. What You'll Do * Consult with customers to clarify business problems and understand requirements and shape solution design. * Perform analysis and modeling, selecting and wrangling appropriate data, develop visualizations and applications, and use storytelling to communicate your results. * Generalize specific customer solutions to develop future product additions in the Sight Machine platform. * Collaborate with engineering and product teams to add new features and contribute to the development of our data platform * Train customers on how to get the most out of their analytics * Support our sales teams during customer calls and provide the data science "point of view" on how we help customers gain insights from their factory floor data. * Perform exploratory research on the latest methodologies in data science and predictive analytics, ranging from researching which algorithms may be useful to apply to manufacturing analytics to diving into the latest research on big data architectures This position requires up to 20% domestic and international travel to client business and factory sites to meet with clients, drive conversations on data science and AI/ML, and participate in onsite strategy sessions. The frequency of travel will vary based on the client.

In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise's known goals, reveal hidden opportunities, and achieve data superiority. The GDIA Manufacturing Analytics team develops data products, analytic software and provides insights to a broad range of skill teams and delivers value to Ford using critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques. As a Data Science Analyst, Complexity Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Complexity to align with their needs and processes to ensure relevancy of products. Responsibilities What you'll be able to do: Accelerate the application of value-added analytics and machine learning into the portfolio of products for Complexity Analytics. Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. Act as a consultant to the business vs. an order taker. Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt. Qualifications You'll have... Master's degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science 2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization 1+ year of experience delivering analytics solutions 1+ year experience with Agile team methodology Even better, you may have... PhD degree is preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory) Proven experience with developing data products/solutions to support analytic applications in Ford's data ecosystem Experience with Product Driven Operating Model or Agile Product Development Process Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users Comfortable working in an environment where problems are not always well-defined Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner Well-organized, independent, and ready to work with minimal supervision Inquisitive, proactive, and interested in learning new tools and techniques Demonstrated hands on experience with deploying data products and/or analytic models in Ford's on-prem and/or Google Cloud Platform Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc. Thorough understanding of the ‘Common Data Model' standard published by Manufacturing 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 **************. #LI-Hybrid

V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at ************** to know more. Skills Required: * Bachelor's degree in computer or data science, engineering, statistics, operations research, or other quantitative area • Ability to extract actionable insights from data • Experience using SQL to extract, clean, and transform data in large, complex, nested databases • Experience using programming languages such as Python or R in a cloud platform • Experience doing research, analysis, data science or solution development • Excellent written and verbal communication skills and strong intellectual curiosity Skills Preferred: * Experience in statistical analysis and modeling • Advanced degree in a related field • Experience in the automotive industry • Experience in at least one area of supply chain operations, such as pricing, procurement, spend forecasting or benchmarking. • Experience developing and delivering projects in Google Cloud Platform (GCP) Experience Required: 1+ years of experience as a researcher, analyst, data scientist or solution developer with one or more of the following analytics tools: R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, Qlikview, QlikSense, Google Cloud Platform, Hadoop, or SAP OR equivalent college course experience Experience Preferred: * 3+ years of experience as a researcher, analyst, data scientist or solution developer • 3+ years of experience with Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, Hadoop • 3+ years of experience in data mining, statistical analysis, modeling, optimization • 1+ years of experience in GCP Big Query and Vertex AI • 3+ year ML experience using python Education Required: Bachelor's degree in computer or data science, engineering, statistics, operations research, or other quantitative area V2Soft is an Equal Opportunity Employer (EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. https://**************/careers - to view all of our open opportunities and to learn more about our benefits.

Job SummaryThe Data Analyst provides management and analysis of business data for use in decision making and organizational efficiency improvement initiatives. Responsible for maintaining data integrity as well as timely and effective responses to the management team and sales/customer service representatives.Job Description Key Accountabilities: Assists in completing daily data file collection & table refreshes Aggregates and performs statistical analysis on business data based on request from project teams or leadership Ensures data accuracy and integrity Use statistical methods to analyze data and generate useful business reports Writes queries or develops reports for various analytical projects Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement Communicate regularly with the customer service team, management, and the executive team on various ad hoc reporting Meets TKMNA Employee Attributes / Competencies The above is intended to describe the general content of and requirement for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Qualifications: Minimum Requirements: Bachelor's degree in Business or equivalent work experience 2 + years of experience in data analytics Excellent communication skills (written and oral) Proficient with MS Office products (Excel, PowerPoint and Word) Analytical thinking skills, statistical knowledge, highly organized, detail oriented Ability to meet deadlines Ability to work in team environment and independently Preferred Requirements: Experience with Atleryx or SQL Experience with Power BI or similar business intelligence software Experience with Python or R Experience with SAP Commerce Cloud Job Compensation $47,000+/year (Based on experience) + Quarterly Bonus opportunity Benefits Overview We offer competitive company benefits to eligible positions, such as: Medical, Dental, Vision Insurance Life Insurance and Disability Voluntary Wellness Programs 401(k) and RRSP programs with Company Match Paid Vacation and Holidays Tuition Reimbursement And more! Benefits may vary based on job, country, union role, and/or company segment. Please work with your recruiter or tk representative for applicable benefits information. Disclaimer This is to notify the general public that some individuals/entities are using the thyssenkrupp (“TK”) name, trademark, domain name, and logo without authorization. They are posing as employees, representatives, or agents of TK and its associated/group companies. These individuals/entities are fraudulently offering jobs online through texts, websites, telephone calls, emails, or by issuing fake offer letters. They are also soliciting jobseekers to deposit money in certain bank accounts or providing jobseekers with fraudulent checks to obtain banking information. TK does not ask, solicit, or accept any monies in any form from candidates, job applicants, or potential jobseekers, who have applied to or wish to apply to TK, whether online or otherwise as a pre-employment requirement. TK bears no responsibility for money being deposited/withdrawn therefrom in response to such fake offers. TK does not: 1. Send job offers from free email services like Gmail, Rediffmail, Yahoo mail, etc.; 2. Request payment of any kind from prospective jobseekers or candidates for employment; 3. Authorize anyone to collect money or agree to any monetary arrangement in return for a job at TK; 4. Send checks to job seekers; or 5. Make job offers through third parties. In the event TK uses professional recruitment services through a third party, offers are always made directly by TK and not by any third parties. PLEASE NOTE: 1. TK strongly recommends that potential jobseekers do not respond to such fake solicitations, in any manner; 2. TK will not be responsible to anyone acting on an employment offer that is not directly made by TK; 3. Anyone making an employment offer in return for money is not authorized by TK; and 4. TK reserves the right to take legal action, including criminal action, against such individuals/entities. TK follows a formal recruitment process through its own HR department and applications are evaluated by its HR department through pre-defined processes. Please visit our official careers website at ******************************** to view authentic job openings at TK. If you receive any unauthorized, suspicious, or fraudulent offers or interview calls, please email us at **********************************************. We shall not accept any liability towards the representation made in any fraudulent communication or its consequences, and such fraudulent communication shall not be treated as any kind of offer or representation by TK or its group companies and affiliates.

In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise's known goals, reveal hidden opportunities, and achieve data superiority. The GDIA Manufacturing Analytics team develops data products, analytic software and provides insights to a broad range of skill teams and delivers value to Ford using critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques. As a Data Science Analyst, Complexity Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Complexity to align with their needs and processes to ensure relevancy of products. As a Data Science Analyst, Complexity Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Complexity to align with their needs and processes to ensure relevancy of products. What you'll be able to do: * Accelerate the application of value-added analytics and machine learning into the portfolio of products for Complexity Analytics. * Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. * Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. * Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. * Act as a consultant to the business vs. an order taker. * Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt. What you'll be able to do: * Accelerate the application of value-added analytics and machine learning into the portfolio of products for Complexity Analytics. * Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. * Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. * Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. * Act as a consultant to the business vs. an order taker. * Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.

Role Overview: As an Analytics and Data Intern, you will dive into the world of data, working alongside our talented team to uncover insights and drive business strategies. This is a fantastic opportunity to gain hands-on experience with cutting-edge technologies and make a real impact. Educational Background: Pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Technical Skills: Proficiency in SQL for database management and querying. Experience with NoSQL databases such as MongoDB, Cassandra, or DynamoDB. Familiarity with vector databases like Pinecone, Weaviate, or Milvus. Experience with Microsoft Azure services, including Azure SQL Database, Azure Data Factory, and Azure Machine Learning. Familiarity with programming languages such as Python or R. Analytical Skills: Strong analytical and problem-solving abilities. Ability to identify patterns and trends in data sets. Data Management: Experience in data collection, cleaning, and organization. Understanding of data preprocessing, feature engineering, and data pipeline development. Communication Skills: Excellent communication and interpersonal skills. Ability to create and present clear and informative reports and visualizations. Additional Skills: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., Apache Spark, Hadoop).

About Outlier Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Mathematics experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Mathematics. Develop and answer Math-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Mathematics or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Mathematics experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.