Data Coordinator, Trauma
Data Science Internship Job 12 miles from Westerville
Fulltime, Benefits eligible role
The Trauma/Rehabilitation/Burn Data Coordinator is responsible for ensuring data integrity, security, reliability, and performance of the Trauma Information System/Registry database within the Trauma, Burn, and Rehabilitation Program. The position provides coordination for the database, recommends, plans and implements modifications, and enhancements as indicated.
Essential Functions:
Provides injury coding using ICD-10, AIS and other required coding
Meets data reporting requirements as required by regulatory entities.
Responsible for the integrity of the information abstracted and input into the trauma registry through analysis, updates of data dictionary and registry upgrades
Provides data requests using applicable policies and procedures.
Provides technical support, problem solving and system administration for the Trauma/Burn/Rehabilitation databases. System administration includes the process related to the daily data entry, maintenance of files, software installation, provision of routine and custom reports, back up files, performance monitoring and tuning, security, analysis of current and future system needs.
Analyzes health information data to prepare graphs, slides, and other materials for presentations at trauma meetings on the local, state, and national level.
Prepares reports, attends presentations and meetings for various hospital, regional, and state trauma meetings.
Education Requirement:
HIM, EMS or health care experience preferred. Understanding of anatomy, physiology, and medical terminology.
Licensure Requirement:
(not specified)
Certifications:
CAISS or CSTR within 2 years of employment
Skills:
Microsoft Office Suit, basic data analysis, typing.
Experience:
Previous experience in database management preferred, health care background or health information management
Physical Requirements:
OCCASIONALLY: Climb stairs/ladder, Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Lifting / Carrying: 21-40 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs, Pushing / Pulling: 41-60 lbs, Squat/kneel
FREQUENTLY: Bend/twist, Hand use: grasping, gripping, turning, Loud Noises, Reaching above shoulder, Standing, Walking
CONTINUOUSLY: Audible speech, Color vision, Computer skills, Decision Making, Depth perception, Flexing/extending of neck, Hearing acuity, Interpreting Data, Machinery, Peripheral vision, Problem solving, Repetitive hand/arm use, Seeing - Far/near, Sitting
Additional Physical Requirements performed but not listed above:
High stressful environment
Business Orientation - Working Knowledge (Meets Expectations), Communicating Complex Concepts - Expert (Meets Expectations), Cross-Team Integration - Working Knowledge (Meets Expectations), Effective Presentations - Extensive Experience (Meets Expectations), Flexibility and Adaptability - Expert (Meets Expectations), Industry Knowledge - Expert (Meets Expectations), N374 Certified Specialist in Trauma Registry - American Trauma Society - ATS, N375 Certified Abbreviated Injury Scale Specialist (CAISS) - Association for the Advancement of Automotive Medicine, NCH Core Values - Basic Understanding (Meets Expectations), No Degree, Planning and Organizing - Expert (Meets Expectations), Problem Solving - Extensive Experience (Meets Expectations), Resource Management - Extensive Experience (Meets Expectations), Training Program Administration - Working Knowledge (Meets Expectations)
"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"
Data Science Intern
Data Science Internship Job 12 miles from Westerville
CURRENT ROOT EMPLOYEES - Please apply using the career page in Workday. This career site is for external applicants only.
The Opportunity
We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
Root's 12-week Data Scientist Internship offers the chance to work on meaningful business challenges in areas like Claims, Lifetime Value Estimation, and Marketing. Interns will collaborate closely with experienced Data Scientists and cross-functional teams, applying advanced quantitative techniques to deliver real-world solutions. We're looking for candidates with strong quantitative skills, programming abilities, and a passion for problem solving.
Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US.
Salary Range: $45/hour
Internship dates: Tuesday, May 27, 2025 - Friday, August 15, 2025
Please Note: We are unable to do OPT and CPT work authorizations
How You Will Make an Impact
Apply statistical and machine learning techniques to solve quantitative problems in the insurance industry
Expand your skills with hands-on training and mentorship from seasoned data scientists
Improve upon quantitative solutions in Claims, Lifetime Value Estimation, or Marketing
Communicate insights from complex analyses to technical and non-technical audiences
Present your findings to leaders and stakeholders, showcasing the value of your work
Demonstrate proficiency in data science fundamentals by the end of the program, with the potential to transition into a full-time Data Scientist role
What You Will Need to Succeed
Currently pursuing a Master's or PhD in quantitative field, ideally with an anticipated graduation date between late 2025 and late 2026, preferred
Demonstrable knowledge of statistical modeling, machine learning, and probability theory
Proficiency in programming with R or Python, including experience in model fitting
Strong communicator and storyteller with strong data visualization skills
End-to-end ownership mentality with a high level of attention to detail
The interview process includes an initial 30 minute phone interview with a recruiter, followed by a 2.5 hour interview with the interview team for candidates who advance to the final interview stage.
Don't meet every single requirement?
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Root, Inc., we are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway!
Join us
At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team.
Who we are
We're harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, we've built one of the most innovative FinTech companies in the world. And we're just getting started.
What draws people to Root
Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and you'll hear similar reasons for why they joined:
Autonomy-for assertive self-starters, the opportunities to contribute are limitless.
Impact-by challenging the way it's always been done, we solve problems that have a big impact on our business.
Collaboration-we encourage rich discussion and civil debate at every turn.
People-we are inspired by the collection of crazy-smart people around us.
Graduate Data Science Summer Internship
Data Science Internship Job 12 miles from Westerville
We're developing the next generation of Colleagues!
The banking industry is evolving rapidly, driven by customer demands for great experiences, simple solutions, and innovative ideas. Join us as we look to enhance the customer and colleague experience by harnessing the power of data.
Experience during the program
Our summer internship program runs for 10 weeks, from late May to early August. Our program offers interns a unique dual experience.
Interns spend half of their time on a team, collaborating with Data & Analytics colleagues and business representatives to work on a real-world project. Projects are tailored so interns can experience the full project cycle. Past projects centered on areas such as
enhancing the
customer experience, optimizing business spend, identifying new market opportunities, providing business insights
,
model development, and engineering metrics & dashboarding.
Interns are assigned to projects based on their backgrounds and project locations.
For the remainder of their time, interns are individually partnered with a host team within the analytic community to participate in ongoing work. Partnering areas may include
statistical modeling, machine learning, natural language processing, advanced analytics, reporting, data engineering, programming
,
and other areas to support Line of Business, Sales, Marketing, et cetera, to make impactful business decisions
. This component of the program provides interns with direct exposure to teams in areas that align to their education and interests.
Interns are expected to adopt a hybrid work structure and work out of one of our headquarters in Columbus, OH, Johnston RI, or Westwood, MA.
Participants can expect to:
Perform statistical analysis to validate data models and ensure their accuracy
Analyze structured and unstructured data to identify trends, patterns, and insights
Perform hands-on text, quantitative, statistical, and operational analysis
Work with business to review data sources, data inconsistencies, and business logic for initiating data discovery
Implement data formulation process, including identification of attributes, exploratory data analysis, data transformation, and temporal data structures
Gain feedback from partners and iteratively fine tune an approach to sufficiently resolve the question and maximize business impact
Present their contributions to colleagues and business leaders as a capstone exercise
What you'll need to apply
Basic Qualifications:
Successfully complete a video interview assessment within 7 days of receiving the link. If not completed within the timeframe, your application will be automatically withdrawn from consideration.
Currently pursuing a graduate degree in Statistics, Data Science, Mathematics, Economics, Analytics, Computer Science, or other data & analytic-related degree
Expected graduation date between December 2025 and Spring 2026 for master's students
or
concurrently enrolled in a PhD program
Minimum GPA of 3.0
Experience working with raw as well as prepared datasets
Proficiency with statistical or machine learning programming languages / tools: SQL, Python, Pandas, Cloud Computing
Preferred Qualifications:
Demonstrated ability to operate in a team environment, and collaborate with colleagues from a range of backgrounds
Competency in SQL & Python, statistical methodology
Strong written and verbal communication skills, with an ability to successfully communicate analytic results, business insights, and business impact to a non-technical audience
Data Governance Intern
Data Science Internship Job 12 miles from Westerville
Are you a highly motivated college student eager to gain hands-on experience and build your business skills? Kimball Midwest, a national leader in maintenance, repair, and operation products, is looking for a dynamic Data Governance Intern to join our team in Columbus, OH. This is your chance to dive into the world of IT data, work on impactful projects, and grow your career with a company that values innovation and excellence.
As a Kimball Midwest associate, you will experience why we have been recognized as one of the Top Workplaces in Columbus TWELVE years in a row! Our sales revenue growth is dynamic, increasing from $1 million in 1983 to over $500 million today. Throughout all our growth we have kept the family owned and operated culture alive. At Kimball Midwest, you are a name and not a number and we pride ourselves on our unique culture.
Responsibilities
* Take ownership of a project related to data governance, Microsoft Purview, governance of terms, or data lineage, making a tangible impact on the organization.
* Learn about data management, classifying, organization, and retention policies.
* Collaborate with a diverse team of data developers, IT leaders, and business stakeholders to ensure top-notch data quality and thorough documentation.
* Partner with architects to support and drive data governance initiatives.
* Contribute to the development and maintenance of robust data governance standards, controls, and processes.
* Assist in creating and maintaining a comprehensive data glossary and data catalog.
* Engage in dynamic discussions to refine and enhance data governance practices and policies.
* Integrate data governance tools and technologies into the organization's data ecosystem.
Qualifications
* Currently enrolled in a bachelor's degree program in Computer Science, Software Engineering, or related field.
* Strong communication and collaboration skills.
* Ability to work independently and within a team.
* Detail-oriented with strong analytical skills.
Additional Information
We offer a benefits package that includes health, dental and vision insurance, company sponsored life, optional life and disability insurance, Health Savings Accounts and Flexible Spending Accounts, a 401(k) plus match, Tuition Assistance, Paid Parental Leave, Paid Time Off (PTO), a Dress for your Day dress code and paid holidays.
Kimball Midwest is an equal opportunity employer that is committed to a program of recruitment of females, minority group members, individuals with disabilities, qualifying veterans and any other classification that is protected by federal, state, or local law.
We Participate in E-Verify. Participamos en E-Verify.
Intern, Data Scientist - DSSC
Data Science Internship Job 12 miles from Westerville
on behalf of BMW Financial Services NA, LLC. BMW Financial Services NA, LLC was established in 1993, supporting the sales and marketing of BMW products. Subsequently, we have expanded beyond the leasing, retail and commercial financing of a traditional captive-finance company offering a broad variety of products tailored for the BMW, MINI and Rolls-Royce customer. Be a part of our exciting growth by expressing an interest in our Data Scientist -DSSC position located in Colombus, OH.
Description
This is a full-time internship position for our Spring Rotation, from January 13, 2025 through May 16, 2025 in Woodcliff Lake, NJ.
The Data Science Intern will work with the Governance and Data Management team on AI/Data Science and/or Innovation use cases. The intern will also attend daily/weekly standups and showcase progress and successes to business and stakeholders in the areas of AI and Generative AI.
Key Responsibilities:
* Collaborate with business partners and IT departments to understand company needs and develop possible solutions
* Keep up to date with latest technology trends
* Communicate results and ideas to key decision makers
* Have strong foundations in software development and basis of computer science
* Support implementation of new statistical or other mathematical methodologies as needed for specific models or analysis
* Optimize joint development efforts through appropriate database use and project design
* Facilitate organization aspects of data and analytics symposium (Internal analytical community event)
* Assist data scientists within the department with process and tools to build and monitor AI models
* Support with software development activities
Requirements:
* Currently enrolled in a bachelor or master's degree program at an accredited college or university
* Possess a minimum cumulative GPA of 3.0 (not just in major)
* Have completed at least 30 college credit hours at time of application
* Field of study: Computer Science, Information Technology, or related field
* Must attach a copy of college unofficial transcript
* Ability to work full-time (40 hours/week)
* Prior BMW Group experience (applicable to international J1 students only)
* Proficient working knowledge of Python
* Proficient working knowledge of UNIX
* Proficient working knowledge Web Frameworks (HTML, CSS, React.JS, Django, etc.)
* Experience with UX/UI
Preferences:
* Knowledge of AWS/AZURE cloud
* Knowledge of Full Stack Development
Join the BMW North America team and enjoy a high-performance Total Rewards package that may include:
* Medical Insurance
* All with options for $0 Employee contribution
* Paid Time Off in addition to Company paid holidays where eligible
* Hybrid work environment
* Intern Vehicle Lease Program
The hourly rate for Undergraduate students is $25.30
The hourly rate for Graduate students is $32.20
The selected student's academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements.
Even more so than the generous compensation and benefits, the culture and values of Shared Services make it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.
At BMW, we are driven by diversity, equity, and inclusion. We are proud to be an Equal Opportunity Employer and are welcoming of all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Intern, Data Scientist - DSSC
20241107
Automotive
Columbus, Ohio, OH
United States
Legal Entity:
BMW Financial Services, US
Columbus, Ohio, OH
Job Field:
Data Science
Job Id:
145474
Publication Date:
07.11.2024
Internship
FullTime
Print Page
Data Scientist, Infra Capacity Planning (Leadership)
Data Science Internship Job 12 miles from Westerville
As a Data Scientist, you will collaborate on a wide array of product and technical problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve our biggest challenges across our Infrastructure organization. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.We are seeking a highly skilled and experienced Data Scientist to lead the development of data-driven solutions for Meta's Infrastructure organization. Meta's Infrastructure organization provides the backbone on which the company operates. This includes all of the data centers, servers, network infrastructure, power infrastructure etc needed to run our products and services.As a key member of the Capacity team, you will be responsible for planning and optimizing the company's infrastructure needs, ensuring timely delivery, and efficient operation. In addition to tackling an incredibly complicated optimization problem, we are looking for someone who can expertly execute across the company, as this charter requires contribution from nearly every org at Meta.
**Required Skills:**
Data Scientist, Infra Capacity Planning (Leadership) Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
7. 12+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
9. Experience framing and communication skills.
10. Proven intellectual curiosity and drive, decisiveness, with ambiguity and complexity.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience in infrastructure planning, operations research, or a related field
12. Familiarity with cloud computing platforms and infrastructure management systems
13. Masters or Ph.D. Degree in a quantitative field.
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Intern, Data Analyst/Scientist
Data Science Internship Job 12 miles from Westerville
At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations elevate Customer Experience (CX) and increase workforce productivity by delivering CX Automation. We hire innovators with the passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities. Learn more at ************** .
**Overview of Job Function:**
The position is primarily focused on various tasks related to data ingestion, processing, normalization, and cataloging in a cloud environment. The intern will be assisting the Da Vinci AI team with several projects regarding data analysis, annotation, and automating data pipelines. The intern will implement and evaluate data annotation and augmentation pipelines using tools from cloud providers for the purposes of machine learning and evaluation of Large Language Models. This intern will also compare methods to generate and evaluate synthetic datasets for various use cases.
**Principal Duties and Essential Responsibilities:**
+ Practice analyzing big data
+ Use available libraries for implementation of algorithms
+ Evaluate and refine algorithms using relevant data
+ Perform exploratory and targeted data analysis using descriptive statistics and other methods
+ Communicate the business value of technical solutions
+ Perform ad-hoc analysis and assist in developing reproducible analytical approaches to meet business requirements
+ Experiment with and evaluate the output of Large Language Models for various tasks
+ Utilization of the following technologies: Python, Jupyter, Spark, and AWS Sagemaker
+ Data Engineering / Data Ops tasks:
+ Cataloging research datasets from various groups - identifying use cases, tagging meta-data, etc.
+ Perform data normalization
+ Writing ETL scripts to convert to standardized form
+ Perform data exploration on various datasets
+ Build data pipelines and transform data sets to support the application of a variety of machine learning techniques
+ Participate in data storage architecture design discussions
**Minimum Requirements:**
+ Pursuing BS in Mathematics, Computer Science, Information Management or Statistics
+ Knowledge of machine learning algorithms
+ Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
+ Adept at documenting experiments, report writing and presenting findings
+ Knowledge of cloud-based data processing platforms such as AWS SageMaker, Google Vertex AI, Microsoft Azure ML, etc.
+ Knowledge of SQL, statistics, and experience using statistical packages for analyzing datasets (Excel, Statsmodels, R etc.)
+ Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations.
\#LI-BM1
MIN: $25/HR
MAX: $30/HR
Data Scientist
Data Science Internship Job 12 miles from Westerville
At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time.
Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:
+ Citeline - accelerate the drug development cycle
+ Evaluate - bring the right drugs to market
+ MMIT - identify barrier to patient access
+ Panalgo - turn data into insight faster
+ The Dedham Group - think strategically for specialty therapeutics
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.
**Job description**
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making.
Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.
**Key duties and responsibilities**
In this role as a Data Scientist, you will:
+ Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products
+ Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams
+ Contributes towards the common data science platform
+ Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
**Key requirements**
+ 3+ years of experience developing AI / ML applications and data driven solutions
+ Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
+ Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques
+ Deep understanding of CS fundamentals, computational complexity and algorithm design
+ Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
+ Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
+ Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems
+ Experience mentoring junior team members
+ Excellent problem solving and communication skills
+ Nice to have
+ M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences.
+ Knowledge of the healthcare domain and experience with applying AI to healthcare data
+ Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
+ Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs
**Our Guiding Principles at Norstella**
01: Bold, Passionate, Mission-First
We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.
02: Integrity, Truth, Reality
We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
03: Kindness, Empathy, Grace
We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
04: Resilience, Mettle, Perseverance
We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
05: Humility, Gratitude, Learning
We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.
**Benefits:**
Medical and prescription drug benefits
Health savings accounts or flexible spending accounts
Dental plans and vision benefits
Basic life and AD&D Benefits
401k retirement plan
Short- and Long-Term Disability
Education benefits
Paid parental leave
Paid time off
**_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_**
The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] .
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
Data Analytics Internship (Summer 2025)
Data Science Internship Job In Westerville, OH
We are seeking a dedicated and proactive individual to join our Data Analytics team as a Data Analytics Intern. This internship offers an excellent opportunity to gain hands-on experience in various aspects of data analysis and business intelligence within our organization. The ideal candidate is passionate about leveraging data to drive insights, detail-oriented, and possesses strong analytical and problem-solving skills.
RESPONSIBILITIES
Assist in gathering data from various internal and external sources, ensuring accuracy, and completeness by cleaning preprocessing the data as needed.
Conduct exploratory data to identify trends, patterns, and correlations within datasets that can provide actionable insights.
Develop and maintain dashboards, charts, and reports to visually represent data insights, making it easier for stakeholders to understand complex information.
Monitor data quality and integrity, identifying any discrepancies or issues and collaborating with the team to resolve them.
Stay updates with the latest trends and technologies in data analytics, continuously seeking opportunities to enhance your skills and apply new techniques.
QUALIFICATIONS
Must be pursing a degree in Data Science, Statistics, Computer Science, or a related field.
Excellent written and verbal communication skills
Demonstrated work ethic and detail-orientation
Strong analytical and critical thinking skills
Ability and willingness to learn in a fast-paced environment and produce high-quality work
Collaboration and teamwork
PHYSICAL & ENVIRONMENTAL DEMANDS
None
TIME TRAVEL REQUIRED
None
The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
Customer Focus
Operational Excellence
High-Performance Culture
Innovation
Financial Strength
OUR BEHAVIORS
Own It
Act With Urgency
Foster a Customer-First Mindset
Think Big and Execute
Lead by Example
Drive Continuous Improvement
Learn and Seek Out Development
At Vertiv, we offer the stability of a global leader in a growing industry
and
the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.
Vertiv is an Equal Opportunity/Affirmative Action employer.
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to
**********************
. If you are interested in applying or learning more about this role, please visit the company's career page located on Vertiv.com/Careers
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Data Scientist
Data Science Internship Job 12 miles from Westerville
Company DescriptionJobs for Humanity is collaborating with Safelite to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life. Company Name: Safelite
Job Description
Does this position interest you? You should apply - even if you don't match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.
This Data Scientist is instrumental in the development of insights, models, and advanced analyses to drive measurable, profitable data-driven decision-making across Safelite's business. This position combines disparate data from multiple internal and external sources, determines the best model to address the business question at hand, creates actionable insights, and contributes to a holistic understanding of consumer behavior as it relates to Safelite products and services.
What You'll Do
Identify and apply optimal statistical analysis, supervised, and unsupervised modeling techniques to drive decision-making and KPI improvement; techniques may include A/B and multivariate testing, predictive analysis, clustering, anomaly detection, and exploratory analyses.
Discover, quantify, and make actionable data-driven conversion opportunities across a variety of data domains, including customer experience, supply chain, and field operations.
Manage the modeling and insights portion of the data science pipeline independently, from data tidying, preparation, and visualization to model creation and training; support and learn from senior team members to expand into the data acquisition and model deployment portions of the data science lifecycle.
Support the testing of key conversion and pricing strategies, including the ability to model and present key financial results and outcomes.
Performs other duties as assigned.
Comply with all policies and standards.
What You'll Need
Bachelor's degree in Statistics, Analytics or related quantitative field
Minimum 1-3 years relevant experience as a data scientist or advanced analyst
Strong problem-solving skills, detail-oriented, and ability to manage multiple projects simultaneously.
Experience with modeling for practical business execution: Demonstrated expertise in developing, validating, and implementing models that have driven concrete business value.
Strong in Microsoft Excel and Tableau or similar BI tools, with direct experience presenting model driven insights and trends to stakeholders.
Demonstrated competence in tidying, visualization, descriptive and predictive statistical analysis, machine learning, and model delivery using at least one modern open-source statistical programming language.
Intermediate understanding of applied statistics and fundamental machine learning concepts.
Familiarity with and understanding of e-commerce, digital and voice lead channels, and B2C pricing strategies.
Intermediate SQL skills: Demonstrated experience querying databases and integrating data from multiple sources.
Intermediate experience with top statistical programming languages (i.e., R or Python)
#LI-TD1
#LI-Hybrid
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Internal Associates: Already a member of the Safelite team? Apply through your Workday account by searching 'Find Open Jobs'.
Diversity: Safelite welcomes everyone. We value our diverse workforce and suppliers, and we're proud to be an equal opportunity employer. Learn more at Safelite.com/Careers.
Benefit amounts are estimates only. Actual values will depend on benefit elections during enrollment.
This position description is not all inclusive for every aspect of this role. Reasonable accommodation will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job's essential duties because of an ADA disability. Other qualifications may be required to ensure employment eligibility in accordance with local laws and regulations and with Safelite Group, Inc. policies and practices.
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Data Scientist II - IS Clinical Innovations
Data Science Internship Job 12 miles from Westerville
Organizes and analyzes complex or large data sets to develop insights and predictive models in support of research, operation, and clinical care at Nationwide Children's Hospital.
Job Description:
Essential Functions:
Collects and organizes large and complex sets of data from various sources.
Leverages structured and unstructured data sets to create analytical solutions using statistical and predictive analysis, natural language processing, geospatial analysis, or machine learning techniques.
Identifies patterns and trends in data to provide insights and recommendations.
Communicates findings and results to stakeholders through reports and presentations.
Collaborates with cross-functional teams to develop and improve data-driven solutions.
Stays up-to-date with industry trends and advancements in data science techniques.
Assists in the mentoring of less experienced staff.
Education Requirement:
Master's Degree in Computer Science, Engineering, Mathematics, Statistics, Clinical Informatics, Nurse Informatics, or a related discipline, required.
Licensure Requirement:
(not specified)
Certifications:
(not specified)
Skills:
Strong desire to learn and highly collaborative.
Exceptional interpersonal and communication skills to interact effectively with all levels of the organization and external contacts.
Experience:
Four years ofscripting language or software development experience using Python, R, MATLAB, or SAS etc., required.
Four years of data manipulation and analysis using Python, R, MATLAB, or SAS etc., required.
Four years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geospatial analytics, required.
Some experience working with healthcare data, preferred.
Physical Requirements:
OCCASIONALLY: Bend/twist, Climb stairs/ladder, Lifting / Carrying: 21-40 lbs, Lifting / Carrying: 41-60 lbs, Squat/kneel, Standing, Walking
FREQUENTLY: Computer skills, Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs
CONTINUOUSLY: Audible speech, Color vision, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing - Far/near, Sitting
Additional Physical Requirements performed but not listed above:
(not specified)
"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"
Data Scientist Lead, Sales Optimization
Data Science Internship Job 12 miles from Westerville
Are you an expert in converting data into meaningful insights using the industry leading Machine Learning/Business intelligence tools and have interest working in Sales optimization? Then this is the right fit for you !The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. Leverages industry-leading tools, Machine Learning / Business Intelligence to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs.
As a Data Scientist Lead in the Sales Optimization & Modeling function, you will partner with the various Lines of Business to analyze the performance of the bankers, financial and lending advisors in over 5,000 Chase branches. The role will develop key capabilities to analyze the sales interaction and identify opportunities to optimize how you engage customers with to improve customer acquisition and retention. You must be able to operate in a collaborative environment and will require you to engage with a wide variety of partners to socialize and move forward all Sales initiatives.
Job responsibilities
Develop the roadmap and execution of strategic initiatives to better manage Chase bankers with data and insights to help leadership identify strategic areas for improvement.
Research, develop and implement new methods of measuring and analyzing data sets. Facilitate use case and requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs.
Understand the entirety of the sales funnel through incorporation of interaction data, quantification of opportunity and analysis of the pipeline data to identify opportunities.
Collaborate across functions and Line of Business to drive Analytics and Insights, formulate quantifiable goals, advise on strategies and experimentation to achieve business goals.
Support partnership with key Stakeholders with strong understanding of underlying data
Develop advanced analytics using an assortment of modeling methods, algorithms and techniques, e.g., predictive modeling, text mining, statistical forecasting and analysis, optimization, and simulation modeling.
Use data analysis techniques to develop insights that lead to new recommendations presented to management.
Profile, wrangle, and prepare data from diverse sources to support analytical efforts. Write data transformation logic in languages such as Python, R, or Scala.
Required qualifications, capabilities, and skills
6+ years of experience with analysis supporting an operating line of business
Bachelors with 5+ years' experience in a quantitative or related discipline
Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R and SAS)
Comfortable communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization
Experience working with various databases (Teradata, Oracle), Snowflake, AWS and advanced level database querying languages (SQL, HQL, Spark SQL) with modern cloud-based data architectures
Problem-solving skills are essential. Must be able to think outside the box to implement creative solutions that solve business problems.
Demonstrated ability to define business KPIs and establish measurement frameworks
Proven ability to work in a fast paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards
Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners.
Preferred qualifications, capabilities, and skills
Masters or PhD in a quantitative field preferred: Statistics, Applied Mathematics, Computing and Information Theory, Econometrics, Biostatistics, Operations Research, or Industrial / Electrical Engineering
Financial services experience preferred.
"Relocation is not offered/supported for this role"
Full Stack Data Scientist
Data Science Internship Job 12 miles from Westerville
At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference.
We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers.
As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems.
This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications.
**Responsibilities**
+ Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions.
+ Strong understanding of React components, state management, and lifecycle methods.
+ Ability to build complex and performant user interfaces.
+ Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction.
+ Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments.
+ Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization.
+ Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.
+ Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage.
+ Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders
+ Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects.
+ Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam.
**Qualifications**
+ Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred.
+ At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred
+ Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL.
+ Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components).
+ Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse
+ Knowledge of clinical domain and datasets.
+ Knowledge of REST, Apigee, Microservices preferred
+ Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques.
+ Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation
+ Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage.
+ Strong mathematical and statistical skills.
+ 2+ years in the Healthcare industry and knowledge of clinical data preferred.
+ Delivery experience with Google Cloud Platform preferred.
+ Agile development skills and experience preferred.
+ Experience designing and developing machine learning and deep learning solutions and systems.
+ Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments.
+ Experience possessing 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.
+ Experience mining and analyzing large structured and unstructured datasets.
+ Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
+ Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production
+ Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment
+ Experience building 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/ML services and platforms with models in production, ML Ops, CI/CD automation of ML 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.
**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
+ Recommends new practices, processes, metrics, or models
+ Works on complex projects of large scope projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Collaborate with stakeholders for completion of new projects
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
\#LI-AP4
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Data Analyst Undergraduate Summer Internship
Data Science Internship Job 12 miles from Westerville
We're developing the next generation of Colleagues! The banking industry is evolving rapidly, driven by customer demands for great experiences, simple solutions, and innovative ideas. Join us as we look to enhance the customer and colleague experience by harnessing the power of data and advanced analytics.
Experience during the program
Our summer internship program runs for 10 weeks, from late May to early August. Our program offers interns a unique dual experience.
Interns spend half of their time on a team, collaborating with Data & Analytics colleagues and business representatives to work on a real-world project. Projects are tailored so interns can experience the full project cycle. Past projects centered on areas such as enhancing thecustomer experience, optimizing business spend, identifying new market opportunities, providing business insights, model development, and engineering metrics & dashboarding. Interns are assigned to projects based on their backgrounds and project locations.
For the remainder of their time, interns are individually partnered with a host team within the analytic community to participate in ongoing work such as data reporting and visualization, data mining, automation and creating dashboards, ad-hoc analysis, and more. This component of the program provides interns with direct exposure to teams in areas that align to their education and interests.
Interns are expected to adopt a hybrid work structure and work out of one of our headquarters in Columbus, OH, Johnston RI, or Westwood, MA.
Participants can expect to:
* Deliver personalized and sophisticated treatment strategies based on predictive / prescriptive models
* Answer ad-hoc questions and information needs using data from BI and data platforms needs using data products
* Identify opportunities for process optimization
* Effectively communicate with cross-functional partners and internal teams to deliver solutions in a timely fashion, using storytelling to present data in a persuasive manner
* Gather requirements to understand the business question
* Work within our data repositories to assemble, manage, and investigate relevant data
* Gain feedback from partners and iteratively fine tune an approach to sufficiently resolve the question and maximize business impact
* Present their contributions to colleagues and business leaders as a capstone exercise
What you'll need to apply
Basic Qualifications:
* Successfully complete a video interview assessment within 7 days of receiving the link. If not completed within the timeframe, your application will be automatically withdrawn from consideration.
* Currently pursuing a bachelor's degree in Statistics, Data Science, Mathematics, Economics, Analytics, Computer Science, or other data & analytic-related degree
* Expected graduation date between December 2025 and Spring 2026
* Minimum GPA of 3.0
* Experience working with raw as well as prepared datasets
* Excellent attention to detail and accuracy
Preferred Qualifications:
* Demonstrated ability to operate in a team environment, and collaborate with colleagues from a range of backgrounds
* Strong written and verbal communication skills, with an ability to successfully communicate analytic results, business insights, and business impact to a non-technical audience
* Analytical mindset with strong problem-solving abilities
* Skills in storytelling, data-driven decision making, data analysis and customer centricity
Hours & Work Schedule
* Hours per Week: 40
* Work Schedule: Monday-Friday
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens), provides equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability, or history or record of a disability, ethnicity, gender, gender identity or expression, transgendered and transitioning individuals, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens we are committed to fostering an inclusive culture that enables colleagues to bring their best selves to work every day and where all are expected to be treated with respect and professionalism. Employment decisions are based solely on experience, performance, and ability. We perform our best so we can do more for our customers, colleagues, communities and shareholders.
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
Benefits
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more.
View Benefits
Awards We've Received
Dave Thomas Foundation's Best Adoption-Friendly Workplace
Disability Equality Index Best Places to Work for People with Disabilities
Fair360 Top Regional Company
FORTUNE's World's Most Admired Companies
Human Rights Campaign Corporate Equality Index 100 Award
Military Friendly Employer
Age-Friendly Institute's Certified Age-Friendly Employer
Bloomberg Gender Equality Index, Standout
Forbes America's Best Large Employers
Summer Finance Intern - Business Analyst
Data Science Internship Job 14 miles from Westerville
MICRO CENTER is the nation's leading computer and electronic device big box retailer! Our technology superstore has an industry-leading 40,000+ selection of premier computer products and the most knowledgeable staff in the business.
We are currently seeking self-motivated, hard-working SUMMER FINANCE INTERN - BUSINESS ANALYST to work for 13 weeks, from 5/12/25 - 8/8/25. This internship is an in-office position located at our Headquarters in Hilliard, OH. If you have a passion for computers & electronics, Micro Center is the place for you! It is Micro Center's core promise to take care of our associates and customers.
MAJOR RESPONSIBILITIES:
Assist in ad-hoc reporting for Senior Managers
Create meaningful reporting for key initiatives
Assist in forecasting sales
Perform audits to ensure accuracy of reporting
Explain data outliers with root cause analysis
Other duties as assigned
EDUCATION & EXPERIENCE:
Currently pursuing a Bachelor's degree in Finance, Accounting, Business Administration or related field
Preferred completion of 3
rd
year after Spring 2024
Minimum GPA of 3.0
Intermediate knowledge of Excel
Prior knowledge of relational databases VBA or SQL is a plus
Strong oral and written communication skills
Ability to develop and maintain collaborative relationships
Problem solving skills
Preferred travel availability of 1 week
MICRO CENTER OFFERS EXCEPTIONAL BENEFITS:
Career Advancement Opportunities
Paid Time Off for Regular Associates
Benefit Coverage for Regular Full-Time Associates
Tuition Reimbursement & Education Discounts
Employee Discount that includes a Friends & Family Discount Program
Esteemed Vendor & Company Job Training
OUR GROWTH OPPORTUNITIES:
At Micro Center, we empower our employees to set their sights high and blaze their own trails. This is a place where your future success and growth are truly a result of your own efforts and achievements. Our teams are made up of motivated individuals who work hard to advance their careers. Join our team and see how hard work, loyalty, competitive spirit and unwavering commitment to the customer can take you and your career to new places.
Micro Center is an Equal Opportunity Employer. Applicants must be currently authorized to work in the United States on a full-time basis.
#LI-DNI
Data Scientist (Technical Leadership)
Data Science Internship Job 12 miles from Westerville
Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Understand and identify opportunities to more responsibly leverage cutting edge technology.
5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity.
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development.
10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance.
11. Experience framing and communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
12. Masters or Ph.D. Degree in a quantitative field.
13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods.
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Lead Data Scientist II, Growth
Data Science Internship Job 12 miles from Westerville
CURRENT ROOT EMPLOYEES - Please apply using the career page in Workday. This career site is for external applicants only.
The Opportunity
We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
At Root, the Quantitative Science team is responsible for the majority of all marketing capital allocation, using quantitative methods to test, maintain, and enhance our marketing strategies across numerous distribution channels. As a Lead Data Scientist II on the Growth Data Science team, you will spearhead R&D initiatives ranging from optimizing media mix to launching experimental campaigns in new channels, particularly those in the mid and upper funnel.
With deep experience in full funnel marketing, you will provide domain-wide thought leadership on experimentation, targeting, measurement, and best practices. You will proactively identify new opportunities for expansion and optimization, shepherding solutions from R&D into production. You will influence your leader to help shape and prioritize the team's experimentation roadmap.
Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US.
Salary Range: $151,200 - $189,000 (Bonus and LTI eligible)
How You Will Make an Impact
Spearhead the research and development of media mix models to drive demonstrably profitable growth
Perform rapid testing and rigorous measurement of novel marketing strategies
Provide domain-wide thought leadership on mid-upper funnel experimentation, targeting, measurement, and best practices based on industry experience
Proactively identify and frame greenfield opportunities for expansion and optimization of direct marketing at Root
Build data science pipelines to quickly iterate on research ideas and put them into production
Influence tactical and strategic planning for the team, including sprint planning, 6-week reviews, and quarterly OKR setting
Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions
What You Will Need to Succeed
Advanced degree in a quantitative discipline (PhD preferred) and 6+ years of applying advanced quantitative techniques to problems in industry
Full funnel marketing experience:
Developing, executing, and measuring the impact of targeted, data-driven marketing strategies
Targeting Models: building and deploying ML targeting models for video, display, and/or email campaigns
Measurement: designing and implementing A/B tests to measure the incremental lift of a new campaign
Media Mix Models: building and operationalizing media mix models, with rigorous post-deployment analysis of their efficacy
Technical skills:
Advanced programming skills with experience using modern packages in Python or R; expertise in databases and SQL; familiarity with version control (e.g. Git)
Experience with AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena
Excellent business intelligence and visualization skills, with the ability to speak to many different audiences
Ownership mentality: takes the initiative to identify, champion, and execute on the highest impact work
Ability to consider problems from first principles, with the instinct to use expertise and prior experience to guide but not dictate the solution
Preferred but not required:
Experience working with DSPs such as The Trade Desk and Meta
Experience using identity graphs to enhance targeting and measurement of marketing campaigns
MLOps: experience with automation and building scalable and efficient ML solutions, familiarity with software engineering best practices
Insurance industry experience
Don't meet every single requirement?
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Root, Inc., we are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway!
Join us
At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team.
Who we are
We're harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, we've built one of the most innovative FinTech companies in the world. And we're just getting started.
What draws people to Root
Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and you'll hear similar reasons for why they joined:
Autonomy-for assertive self-starters, the opportunities to contribute are limitless.
Impact-by challenging the way it's always been done, we solve problems that have a big impact on our business.
Collaboration-we encourage rich discussion and civil debate at every turn.
People-we are inspired by the collection of crazy-smart people around us.
Business Intelligence Developer/Analyst Internship (Summer 2025)
Data Science Internship Job In Westerville, OH
This position will join the existing Business Analytics team and will primarily work to solve a data analytics problem and develop the required visualization and dashboard as part of the solution. Responsibilities: * Identify valuable data sources and automate collection processes.
* Collect and manage required sets of data
* Produce accurate analyses and/or hypotheses testing by applying algorithms to large structured as well as unstructured datasets.
* Understand key paths, patterns and customer behaviors leading to desired as well as undesired business outcomes; perform deep data analysis to understand root causes and develop business strategies to solve for problem areas.
* Conduct research and attend training for current and emerging business intelligence technologies in support of reporting needs
Requirements:
* Pursuing an undergraduate Bachelor's Degree from an accredited college or university in information technology or a directly related field.
* Career interest in Business Intelligence and Data Science.
* Strong communication, analytical and organization skills
* Passion to learn, should be able to work independently and in a team
* Identify valuable data sources and automate collection processes.
* Produce accurate analyses and/or hypotheses testing by applying algorithms to large structured as well as unstructured datasets.
* Technical skills:
* Strong knowledge in SQL, Advanced MS Excel and PowerBI
* Should be able to work with large sets of data
* Willing to work flexible hours
* Requires ability to maintain overall productivity in an interruption-driven environment
* Travel as required (domestic & international)
At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5.0 billion in revenue, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.
The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
* Customer Focus
* Operational Excellence
* High-Performance Culture
* Innovation
* Financial Strength
OUR BEHAVIORS
* Own It
* Act With Urgency
* Foster a Customer-First Mindset
* Think Big and Execute
* Lead by Example
* Drive Continuous Improvement
* Learn and Seek Out Development
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to **********************
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, O, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Graduate Data Analyst Summer Internship
Data Science Internship Job 12 miles from Westerville
We're developing the next generation of Colleagues!
The banking industry is evolving rapidly, driven by customer demands for great experiences, simple solutions, and innovative ideas. Join us as we look to enhance the customer and colleague experience by harnessing the power of data and advanced analytics.
Experience during the program
Our summer internship program runs for 10 weeks, from late May to early August. Our program offers interns a unique dual experience.
Interns spend half of their time on a team, collaborating with Data & Analytics colleagues and business representatives to work on a real-world project. Projects are tailored so interns can experience the full project cycle. Past projects centered on areas such as
enhancing the
customer experience, optimizing business spend, identifying new market opportunities, providing business insights
,
model development, and engineering metrics & dashboarding.
Interns are assigned to projects based on their backgrounds and project locations.
For the remainder of their time, interns are individually partnered with a host team within the analytic community to participate in ongoing work such as data reporting and visualization, data mining, automation and creating dashboards, ad-hoc analysis, and more. This component of the program provides interns with direct exposure to teams in areas that align to their education and interests.
Interns are expected to adopt a hybrid work structure and work out of one of our headquarters in Columbus, OH, Johnston RI, or Westwood, MA.
Participants can expect to:
Deliver personalized and sophisticated treatment strategies based on predictive / prescriptive models
Answer ad-hoc questions and information needs using data from BI and data platforms needs using data products
Identify opportunities for process optimization
Effectively communicate with cross-functional partners and internal teams to deliver solutions in a timely fashion, using storytelling to present data in a persuasive manner
Gather requirements to understand the business question
Work within our data repositories to assemble, manage, and investigate relevant data
Gain feedback from partners and iteratively fine tune an approach to sufficiently resolve the question and maximize business impact
Present their contributions to colleagues and business leaders as a capstone exercise
What you'll need to apply
Basic Qualifications:
Successfully complete a video interview assessment within 7 days of receiving the link. If not completed within the timeframe, your application will be automatically withdrawn from consideration.
Currently pursuing a graduate degree in Statistics, Data Science, Mathematics, Economics, Analytics, Computer Science, or other data & analytic-related degree
Expected graduation date between December 2025 and Spring 2026 for master's students
or
concurrently enrolled in a PhD program
Minimum GPA of 3.0
Experience working with raw as well as prepared datasets
Excellent attention to detail and accuracy
Preferred Qualifications:
Demonstrated ability to operate in a team environment, and collaborate with colleagues from a range of backgrounds
Strong written and verbal communication skills, with an ability to successfully communicate analytic results, business insights, and business impact to a non-technical audience
Analytical mindset with strong problem-solving abilities
Skills in storytelling, data-driven decision making, data analysis and customer centricity
Graduate Data Analyst Summer Internship
Data Science Internship Job 12 miles from Westerville
We're developing the next generation of Colleagues!
The banking industry is evolving rapidly, driven by customer demands for great experiences, simple solutions, and innovative ideas. Join us as we look to enhance the customer and colleague experience by harnessing the power of data and advanced analytics.
Experience during the program
Our summer internship program runs for 10 weeks, from late May to early August. Our program offers interns a unique dual experience.
Interns spend half of their time on a team, collaborating with Data & Analytics colleagues and business representatives to work on a real-world project. Projects are tailored so interns can experience the full project cycle. Past projects centered on areas such as
enhancing the
customer experience, optimizing business spend, identifying new market opportunities, providing business insights
,
model development, and engineering metrics & dashboarding.
Interns are assigned to projects based on their backgrounds and project locations.
For the remainder of their time, interns are individually partnered with a host team within the analytic community to participate in ongoing work such as data reporting and visualization, data mining, automation and creating dashboards, ad-hoc analysis, and more. This component of the program provides interns with direct exposure to teams in areas that align to their education and interests.
Interns are expected to adopt a hybrid work structure and work out of one of our headquarters in Columbus, OH, Johnston RI, or Westwood, MA.
Participants can expect to:
Deliver personalized and sophisticated treatment strategies based on predictive / prescriptive models
Answer ad-hoc questions and information needs using data from BI and data platforms needs using data products
Identify opportunities for process optimization
Effectively communicate with cross-functional partners and internal teams to deliver solutions in a timely fashion, using storytelling to present data in a persuasive manner
Gather requirements to understand the business question
Work within our data repositories to assemble, manage, and investigate relevant data
Gain feedback from partners and iteratively fine tune an approach to sufficiently resolve the question and maximize business impact
Present their contributions to colleagues and business leaders as a capstone exercise
What you'll need to apply
Basic Qualifications:
Successfully complete a video interview assessment within 7 days of receiving the link. If not completed within the timeframe, your application will be automatically withdrawn from consideration.
Currently pursuing a graduate degree in Statistics, Data Science, Mathematics, Economics, Analytics, Computer Science, or other data & analytic-related degree
Expected graduation date between December 2025 and Spring 2026 for master's students
or
concurrently enrolled in a PhD program
Minimum GPA of 3.0
Experience working with raw as well as prepared datasets
Excellent attention to detail and accuracy
Preferred Qualifications:
Demonstrated ability to operate in a team environment, and collaborate with colleagues from a range of backgrounds
Strong written and verbal communication skills, with an ability to successfully communicate analytic results, business insights, and business impact to a non-technical audience
Analytical mindset with strong problem-solving abilities
Skills in storytelling, data-driven decision making, data analysis and customer centricity