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Data Analytics Computer Science Jobs in Ohio (NOW HIRING)

... Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or ... Data Handling & Cloud: Experience with large datasets anddeveloping incloud computing platforms ...

Skilled at breaking down algorithm analysis, data structure implementation, and systems-level ... Familiar with college computer science curricula and common challenges such as understanding ...

Bachelor's degree in Statistics, Economics, Mathematics, Physics, Computer Science, Engineering or related field and two years of experience conducting data analytics, math or statistical modeling or ...

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Data Analytics Computer Science information

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities in Ohio are hiring for Data Analytics Computer Science jobs? Cities in Ohio with the most Data Analytics Computer Science job openings:
Principal Data Scientist- Mortgage Sales & Strategy Analytics

Principal Data Scientist- Mortgage Sales & Strategy Analytics

Citizens

Columbus, OH โ€ข Hybrid

$157K - $197K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Description

Citizens' Enterprise Data & Analytics (ED&A) organization is seeking an experienced Data Scientist to provide analytics leadership related to Mortgage sales and strategy with a focus on proactively retaining existing customers and acquiring new customers via application of data/programming/models/analytics to support sales outreach and optimization.ย Initial focus is on driving growth through the Enterprise Smart Leads operation that centralizes sales lead generation with a coordinated approach to customer outreach. The Mortgage Sales & Strategy Principal Data Scientist will be responsible for generating, distributing, assessing and optimizing data-driven sales leads provided to virtual and retail Mortgage Loan Officers to enable proactive customer outreach.ย  Skills required include a range of analytical functions (computer and statistical programming, data management, data exploration/visualization, feature engineering, statistical analysis) and business functions (stakeholder engagement and communication, strategy development, analyzing/presenting results, process improvement).

The optimal candidate will possess strong programming, analytical, and communication skills, and demonstrate ability to provide analytics leadership with business stakeholders and work well in a team environment.ย  As the Principal Data Scientist, you will work independently as the primary point of contact for Mortgage business partners as well as working within the broader Enterprise Smart Leads team at the direction of a Data Science Manager.ย  This person will develop expertise on all Mortgage sales-related data; develop, execute, and maintain programs to generate customized, data-driven Mortgage-focused leads; develop/implement/present analyses aimed at optimizing performance; and lead reporting and communications with management regarding performance and strategy. ย Given the focus, knowledge of the home lending area and experience with home lending data is a plus, but is not required.ย  Experience in the financial services industry is preferred.

Smart Leads operates as an Agile team within the Enterprise Data and Analytics organization, working closely with other teams involved in various customer communications.ย 

In this role, you will:

  • Conduct customer segmentation analyses and scoping to support Mortgage lead strategy development, assessment and revision.ย 
  • Apply advanced analytics to engineer customized, data driven, timely sales leads focused on Mortgage retention and acquisitionย 
  • Apply advanced analytics to continually optimize lead distribution across Virtual/Retail loan officers.
  • Apply advanced analytics to maximize production via provision of an optimal number and mix of leads across channels.
  • Apply advanced analytics to develop and optimize lead scoring/prioritization within an overall sales lead strategy framework.
  • Undertake Mortgage lead program investigation and evaluation on an ongoing basis.ย  Prepare performance updates and special analyses.
  • Regularly engage with Mortgage business partners to remain tightly aligned on shifting business strategies and discuss application of data and analytics to Mortgage strategy and sales.
  • Oversee ongoing execution and generation of data driven Mortgage sales leads.
  • Maintain and improve processes/programs for generating and delivering sales leads and other related information flowsย 
  • Manage and analyze call disposition data to optimize lead selection and assess performanceย 
  • Document and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
  • Develop and implement experimental designs to meet business objectives
  • Continuously innovate through exploration of new techniques, platforms and data sources
  • Automate various standard procedures including data flows, monitoring, & quality controlย 

Technical Qualifications

  • Master's (or beyond) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Data Science/Analytics, Economics, Finance or related fields
  • Strongย programming skills andย ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, Python, SAS, R, etc.)
  • Strong written and verbal communication skills required with an ability to communicate analytic results, business insights and resulting business implications to non-technical business partners
  • Abilityย to work in a team environmentย andย collaborate with colleagues who have a background in statistics, database development/maintenance, and information technologyย 
  • Ability to lead productive engagements with business partners from an analytic perspective
  • 4-7 years of experience in Analytics particularly with Financial Services applications

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on site, 1 day remote

Pay Transparency

The salary range for this position is $157,000 - $197,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

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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) provide 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, 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 all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST