Sr. Data Scientist Dublin, OH Fulltime (Permanent) (Day 1 On-Site) Job Description: 3 years of proven Data Science experience and involvement in packaged platform delivery and management. Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required. Master's degree or PhD in related field is preferred. Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs). Strong mathematical and statistical skills. Experience in statistical and data mining techniques (such as boosting, generalized linear models/regression, random forests, trees, and social network analysis). Understanding of machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction. Understanding of cloud data engineering and integration concepts. Experience with Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage, is preferred. Excellent oral and written communication skills. Comfortable reading academic research papers and applying them in building models. Ability to work independently and within a cross functional team environment. Experience with DevOps Agile practices preferred. What is expected of you and others at this level. Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects. Participates in the development of policies and procedures to achieve specific goals. Recommends new practices, processes, metrics, or models. Works on or may lead complex projects of large scope. Projects may have significant and long-term impact. Provides solutions which may set precedent. Independently determines method for completion of new projects. Receives guidance on overall project objectives. Acts as a mentor to less experienced colleagues.

Do you have experience in numerical analysis tools and languages and also a working knowledge of data engineer concepts management? Are you someone who believes in being an integral partner of a team who is enabling rail safety for freight, transit, and industrial customers? If you are then STOP and look NO further! LB Foster is looking for an Applied Data Scientistlocated in Dublin, OH. And we want to talk to YOU. Who You Are... Employ statistical analysis, advanced machine learning techniques, and uses engineering principles and experience to inform and develop descriptive, diagnostic, and predictive analytics and algorithms based on large time-series data collected by various railroad wayside detectors. This Position... Is broadly responsible for all aspects of the data life cycle with a strong emphasis on feature engineering, model development, validation and productization. Some examples of the work you might do include... <ul><li>Collaborate with engineering teammates to define data collection methods and specifications. </li><li>Prepare large datasets for analysis through data cleaning and manipulation. </li><li>Design and develop end-to-end analytical pipelines, encompassing everything from foundational engineering principles, hardware integration, and algorithm development to validation, deployment, and ongoing optimization in production environments. </li><li>Perform statistical analysis and machine learning to enhance system accuracy, improve defect detection, and predict defects. </li><li>Generate insightful reports and visualizations to demonstrate analysis results. </li><li>Consult with Software Engineers to design or improve algorithms used in embedded products. </li><li>Collaborate with product managers to align data-driven insights with product development strategies, ensuring data models and analytics solutions meet business objectives and enhance user experiences. </li></ul>What Do You Need?<ul><li>Bachelor's degree in Engineering, Computer Science, Data Science, or Applied Mathematics required. </li><li>Master's Degree in related field preferred </li><li>6+ years of experience in Data Science required </li><li>3-5 years of additional experience in engineering preferred </li><li>Proficiency in at least one ML framework (PyTorch, TensorFlow, Theano, etc.) </li><li>Proficiency in numerical analysis tools/languages (MATLAB or R) and/or proficiency in Python and related data analysis libraries (NumPy, SciPy, etc.) </li><li>Working knowledge of SQL </li><li>Working knowledge of data engineering concepts </li><li>Familiarity with the physics of dynamic motion and mechanical systems </li><li>Familiarity with inertial sensors (force, acceleration, tilt, etc.) </li><li>Familiarity with Linux commands and navigation </li><li>Strong verbal and written communication skills </li></ul>Benefits<ul><li>Medical, dental, vision benefits the first day of the month after hire </li><li>Market-leading 401(k) program with company match </li><li>100% tuition reimbursement </li> <li>Career development and advancement opportunities </li><li>Flexible work environment </li></ul> Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Do you have experience in numerical analysis tools and languages and also a working knowledge of data engineer concepts management? Are you someone who believes in being an integral partner of a team who is enabling rail safety for freight, transit, and industrial customers ? If you are then STOP and look NO further! LB Foster is looking for an Applied Data Scientist located in Dublin, OH. And we want to talk to YOU . Who You Are... Employ statistical analysis, advanced machine learning techniques, and uses engineering principles and experience to inform and develop descriptive, diagnostic, and predictive analytics and algorithms based on large time-series data collected by various railroad wayside detectors. This Position... Is broadly responsible for all aspects of the data life cycle with a strong emphasis on feature engineering, model development, validation and productization. Some examples of the work you might do include... Collaborate with engineering teammates to define data collection methods and specifications.
Prepare large datasets for analysis through data cleaning and manipulation.
Design and develop end-to-end analytical pipelines, encompassing everything from foundational engineering principles, hardware integration, and algorithm development to validation, deployment, and ongoing optimization in production environments.
Perform statistical analysis and machine learning to enhance system accuracy, improve defect detection, and predict defects.
Generate insightful reports and visualizations to demonstrate analysis results.
Consult with Software Engineers to design or improve algorithms used in embedded products.
Collaborate with product managers to align data-driven insights with product development strategies, ensuring data models and analytics solutions meet business objectives and enhance user experiences.
What Do You Need? Bachelor's degree in Engineering, Computer Science, Data Science, or Applied Mathematics required.
Master's Degree in related field preferred
6+ years of experience in Data Science required
3-5 years of additional experience in engineering preferred
Proficiency in at least one ML framework (PyTorch, TensorFlow, Theano, etc.)
Proficiency in numerical analysis tools/languages (MATLAB or R) and/or proficiency in Python and related data analysis libraries (NumPy, SciPy, etc.)
Working knowledge of SQL
Working knowledge of data engineering concepts
Familiarity with the physics of dynamic motion and mechanical systems
Familiarity with inertial sensors (force, acceleration, tilt, etc.)
Familiarity with Linux commands and navigation
Strong verbal and written communication skills
Benefits Medical, dental, vision benefits the first day of the month after hire
Market-leading 401(k) program with company match
100% tuition reimbursement
Career development and advancement opportunities
Flexible work environment Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Job Title Senior Data Scientist Work Location (State, City and Zip) Dublin, OH Relevant Experience (in Yrs) 10-12 Yrs Experience Required Roles & Responsibilities Desired Qualifications:
•3+ years of proven Data Science experience and involvement in packaged platform delivery and management.
•Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required.
•Master's degree or PhD in related field is preferred.
•Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
•Strong mathematical and statistical skills.
•Experience in statistical and data mining techniques (such as boosting, generalized linear models/regression, random forests, trees, and social network analysis).
•Understanding of machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction.
•Understanding of cloud data engineering and integration concepts.
•Experience with Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage, is preferred
•Excellent oral and written communication skills.
•Comfortable reading academic research papers and applying them in building models.
•Ability to work independently and within a cross functional team environment.
•Experience with DevOps Agile practices preferred. What is expected of you and others at this level
•Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
•Participates in the development of policies and procedures to achieve specific goals.
•Recommends new practices, processes, metrics, or models.
•Works on or may lead complex projects of large scope.
•Projects may have significant and long-term impact.
•Provides solutions which may set precedent.
•Independently determines method for completion of new projects
•Receives guidance on overall project objectives.
•Acts as a mentor to less experienced colleagues.

Job Title Senior Data Scientist Work Location (State, City and Zip) Dublin, OH Relevant Experience (in Yrs) 10-12 Yrs Experience Required Roles & Responsibilities Desired Qualifications: •3+ years of proven Data Science experience and involvement in packaged platform delivery and management. •Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required. •Master's degree or PhD in related field is preferred. •Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs). •Strong mathematical and statistical skills. •Experience in statistical and data mining techniques (such as boosting, generalized linear models/regression, random forests, trees, and social network analysis). •Understanding of machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction. •Understanding of cloud data engineering and integration concepts. •Experience with Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage, is preferred •Excellent oral and written communication skills. •Comfortable reading academic research papers and applying them in building models. •Ability to work independently and within a cross functional team environment. •Experience with DevOps Agile practices preferred. What is expected of you and others at this level •Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects. •Participates in the development of policies and procedures to achieve specific goals. •Recommends new practices, processes, metrics, or models. •Works on or may lead complex projects of large scope. •Projects may have significant and long-term impact. •Provides solutions which may set precedent. •Independently determines method for completion of new projects •Receives guidance on overall project objectives. •Acts as a mentor to less experienced colleagues.

- Going to be working on promotional and situational based analysis - Working on the machine learning side of things (how can it translate to the business) - Big data processing - Sales demand and forecasting -pay : 50-70/hr We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . - ML Ops - CICD GCP Technologies -Big Query, Vertex AI, Data Proc Prediction and forecasting models Git Lab, Spark , Python etc. Strong communication will be working directly with the business (closely with stakeholders)

Role: Data Scientist Location: Cincinnati/Dublin, OH- Day 1 onsite Duration: Contract Role Description: Role Description: As a functional consultant, work closely with the business and development team to capture the requirements across multiple business segments and functionalities. This role requires an extensive understanding of coding standard and implement them in Cardinal Health's applications. Apart from this any activity that is related to hypercare, rollbacks needs to be confirmed by this role to other teams. As an expert in Java Full stack, architecture must be well understood to give appropriate instructions to Dev team, work with external teams like Kafka, Postgres, Boomi to help them get their code aligned with the new application. Help team to follow the process and priority for implementation. Assign work to dev teams and work with scrum master to help with the priority of cards.Generative AI •Experience working with Generative AI and LLM based solutions •Experience delivering products in multimodal-LLMs/Foundation models, Machine Learning (Client), or related areas •Experience working with RAG technologies such as LLM frameworks (Langchain and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, prompting techniques (Chain of Thought, ReACT, etc.), and vector databases.Client Ops •Experience in building end-to-end Client pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production •Experience in model training, model evaluation, model optimization, Client system architecture design, and scalable Client model deployment •Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam•Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. •Experience in building solutions for AI/Client services and platforms with models in production, Client Ops, CI/CD automation of Client pipelines in a cloud-based environment e.g., (GCP) •Experience interacting with REST APIs and microservices •Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.Software Engineering •Implement delivery of architecture patterns that effectively leverage data foundation assets and incorporate API led designs •Build, execute and support the implementation of new technologies and API functionality across the organization•Familiarity with API management platforms like APIGee. •Working understanding of software engineering patterns, solutions architecture, information architecture and security architecture with an emphasis on Client/GenAI implementations.Thought Leadership •Partner and contribute to AI Client projects with cross functional teams to deliver advanced analytics/machine learning solution. •Work across diverse teams, perspectives and opinions and quickly build consensus. •Create visualizations of data that make distributions, trends, and results easy to understand for business Essential Skills: Front-end technologies: HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.jsBackend technologies: Python, Java, Node.js, Flask/Django, FastAPIDatabases: PostgreSQL, SQL Server, MongoDBVersion control: GitDevOps tools: Docker, Kubernetes, AirflowAPI layer: REST, Apigee, MicroservicesCI/CD: ConcourseCloud: GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storageMLGenAI RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluationLarge Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, RAG technologies, Vector databases, Embedding models, Prompting techniques. Desirable Skills: •Designing and developing machine learning and deep learning solutions and systems. •Using statistical analysis to determine data modeling approach, training machine learning tests and experiments. •Possess deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. •Mine and analyze large structured and unstructured datasets. •Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Job Title: Data Scientist/Client Engineer Location: Dublin, OH Job Type: Contract JOB DESCRIPTION As a functional consultant, work closely with the business and development team to capture the requirements across multiple business segments and functionalities. This role requires an extensive understanding of coding standard and implement them in Cardinal Healths applications. Apart from this any activity that is related to hypercare, rollbacks needs to be confirmed by this role to other teams. As an expert in Java Full stack, architecture must be well understood to give appropriate instructions to Dev team, work with external teams like Kafka, Postgres, Boomi to help them get their code aligned with the new application.Help team to follow the process and priority for implementation. Assign work to dev teams and work with scrum master to help with the priority of cards.<ul> <li>Experience working with Generative AI and LLM based solutions</li> <li>Experience delivering products in multimodal-LLMs/Foundation models, Machine Learning (Client), or related areas</li> <li>Experience working with RAG technologies such as LLM frameworks (Langchain and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, prompting techniques (Chain of Thought, ReACT, etc.), and vector databases.Client Ops</li> <li>Experience in building end-to-end Client pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production</li> <li>Experience in model training, model evaluation, model optimization, Client system architecture design, and scalable Client model deployment</li> <li>Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam</li> <li>Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.</li> <li>Experience in building solutions for AI/Client services and platforms with models in production, Client Ops, CI/CD automation of Client pipelines in a cloud-based environment e.g., (GCP)</li> <li>Experience interacting with REST APIs and microservices</li> <li>Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. Software Engineering</li> <li>Implement delivery of architecture patterns that effectively leverage data foundation assets and incorporate API led designs</li> <li>Build, execute and support the implementation of new technologies and API functionality across the organization</li> <li>Familiarity with API management platforms like APIGee.</li> <li>Working understanding of software engineering patterns, solutions architecture, information architecture and security architecture with an emphasis on Client/GenAI implementations.</li> <li>Thought Leadership Partner and contribute to AI Client projects with cross functional teams to deliver advanced analytics/machine learning solution.</li> <li>Work across diverse teams, perspectives and opinions and quickly build consensus.</li> <li>Create visualizations of data that make distributions, trends, and results easy to understand for business </li></ul> Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Do you have experience in numerical analysis tools and languages and also a working knowledge of data engineer concepts management? Are you someone who believes in being an integral partner of a team who is enabling rail safety for freight, transit, and industrial customers? If you are then STOP and look NO further! LB Foster is looking for an Applied Data Scientistlocated in Dublin, OH. And we want to talk to YOU. Who You Are... Employ statistical analysis, advanced machine learning techniques, and uses engineering principles and experience to inform and develop descriptive, diagnostic, and predictive analytics and algorithms based on large time-series data collected by various railroad wayside detectors. This Position... Is broadly responsible for all aspects of the data life cycle with a strong emphasis on feature engineering, model development, validation and productization. Some examples of the work you might do include... <ul> <li>Collaborate with engineering teammates to define data collection methods and specifications. </li><li>Prepare large datasets for analysis through data cleaning and manipulation. </li><li>Design and develop end-to-end analytical pipelines, encompassing everything from foundational engineering principles, hardware integration, and algorithm development to validation, deployment, and ongoing optimization in production environments. </li><li>Perform statistical analysis and machine learning to enhance system accuracy, improve defect detection, and predict defects. </li><li>Generate insightful reports and visualizations to demonstrate analysis results. </li><li>Consult with Software Engineers to design or improve algorithms used in embedded products. </li><li>Collaborate with product managers to align data-driven insights with product development strategies, ensuring data models and analytics solutions meet business objectives and enhance user experiences. </li></ul>What Do You Need? <ul> <li>Bachelor's degree in Engineering, Computer Science, Data Science, or Applied Mathematics required. </li><li>Master's Degree in related field preferred </li><li>6+ years of experience in Data Science required </li><li>3-5 years of additional experience in engineering preferred </li><li>Proficiency in at least one ML framework (PyTorch, TensorFlow, Theano, etc.) </li><li>Proficiency in numerical analysis tools/languages (MATLAB or R) and/or proficiency in Python and related data analysis libraries (NumPy, SciPy, etc.) </li><li>Working knowledge of SQL </li><li>Working knowledge of data engineering concepts </li><li>Familiarity with the physics of dynamic motion and mechanical systems </li><li>Familiarity with inertial sensors (force, acceleration, tilt, etc.) </li><li>Familiarity with Linux commands and navigation </li><li>Strong verbal and written communication skills </li></ul>Benefits <ul> <li>Medical, dental, vision benefits the first day of the month after hire </li><li>Market-leading 401(k) program with company match </li><li>100% tuition reimbursement </li> <li>Career development and advancement opportunities </li><li>Flexible work environment </li></ul> Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Job Title Senior Data Scientist

Work Location (State, City and Zip) Dublin, OH

Relevant Experience

(in Yrs) 10-12 Yrs

Experience Required

Roles & Responsibilities Desired Qualifications:
• 3+ years of proven Data Science experience and involvement in packaged platform delivery and management.
• Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required.
• Master's degree or PhD in related field is preferred.
• Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
• Strong mathematical and statistical skills.
• Experience in statistical and data mining techniques (such as boosting, generalized linear models/regression, random forests, trees, and social network analysis).
• Understanding of machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction.
• Understanding of cloud data engineering and integration concepts.
• Experience with Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage, is preferred
• Excellent oral and written communication skills.
• Comfortable reading academic research papers and applying them in building models.
• Ability to work independently and within a cross functional team environment.
• Experience with DevOps Agile practices preferred.

What is expected of you and others at this level
• Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
• Participates in the development of policies and procedures to achieve specific goals.
• Recommends new practices, processes, metrics, or models.
• Works on or may lead complex projects of large scope.
• Projects may have significant and long-term impact.
• Provides solutions which may set precedent.
• Independently determines method for completion of new projects
• Receives guidance on overall project objectives.
• Acts as a mentor to less experienced colleagues.

Data Scientist Jobs in Dublin, OH

Sr Data Scientist
December 8, 2024

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Data Scientist
November 29, 2024

Data Scientistml Engineer
November 29, 2024

Data Scientist Iv
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Senior Data Scientist
November 24, 2024

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Data Scientist Jobs in Dublin, OH

Sr Data ScientistDecember 8, 2024

Data Scientist IvDecember 5, 2024

Data Scientist IvDecember 4, 2024

Senior Data ScientistDecember 4, 2024

Senior Data ScientistDecember 3, 2024

Data ScientistDecember 3, 2024

Data ScientistNovember 29, 2024

Data Scientistml EngineerNovember 29, 2024

Data Scientist IvNovember 29, 2024

Senior Data ScientistNovember 24, 2024