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Data Science Associate Jobs in New Century, KS (NOW HIRING)

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Lead Forward Deployed Engineer - AWS

Kansas City, MO · On-site

$100K - $131K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Senior Forward Deployed Engineer- AWS

Kansas City, MO · On-site

$102K - $140K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

Description of the Role As an Associate Data Engineer at Vytalize Health, you will support the data ... Bachelor\'s degree in Computer Science, Engineering, Information Systems, or a related field, or ...

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Data Science Associate information

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What cities near New Century, KS are hiring for Data Science Associate jobs? Cities near New Century, KS with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in New Century, KS as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Director - Data Science (Hybrid - Flexible Options)

Broadridge

Kansas City, MO • Hybrid

Full-time

Re-posted 7 hours ago


Broadridge rating

6.7

Company rating: 6.7 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

138th of 150 rated financial services


Job description

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team.

Broadridge is Growing! We are seeking a Sr. Director - Data Science who will be a skilled problem solver with a passion for utilizing data to drive business results through insights and improved decision-making. The position will involve working closely with internal teams at Broadridge as well as Broadridge clients for the planning, execution, and delivery of Broadridge analytics and data science products, which include a variety of predictive models, marketing analytics, forecasting, development of sales and business analytics, and more.

The Sr. Director - Data Scientist will participate in analytical product development and custom consulting projects focused on delivering new analytical insights to clients. This opportunity is for someone who wants to make an impact in advanced analytics and data science within the Asset Management segment of the FinTech Industry and will provide direct support to North American Distribution Solutions. The Data Scientist will develop an analytical expertise that can result in new developments or enhancements to client engagements, as well as integration and improvements associated with Broadridge analytics products.

Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week andgiven the flexibility to work remotely the rest of the time.

Job Responsibilities:

  • Experience in financial services with an emphasis in distribution
  • Excellent communicator with the ability to problem solve through data and explain nuanced analytic output to end business users
  • Lead analytics projects, working with business leaders, product managers, and other Data Scientist(s)
  • Strong organizational skills and attention to detail
  • Sporadic travel to meet with clients
  • Develop new metrics and methodologies to achieve analytic goals of the clients
  • Stay informed and/or follow all relevant Broadridge policies to ensure the security and privacy of the data
  • May perform other duties/responsibilities as needed or assigned.

Preferred Qualifications:

  • Required experience in Asset Management distribution or Financial Intermediary analytics; experience supporting product distribution or sales analytics strongly preferred

  • 10+ years of experience in data science, quantitative analytics, or a similar analytical role

  • Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or another quantitative discipline

  • Prior experience as a Data Scientist or in a similar quantitative analytical role required
  • Experience with R and/or Python required
  • Strong SQL skills required, including data mining and data extraction from large datasets
  • Experience processing, analyzing, and interpreting large, complex datasets
  • Experience leading analytical projects or workstreams and translating business needs into actionable insights
  • Proven ability to work independently, manage multiple priorities, and deliver high-quality work with minimal oversight
  • Strong communication skills, including the ability to present data-driven findings clearly to business stakeholders
  • Ability to thrive in a collaborative environment and partner effectively with stakeholders
  • Advanced Excel skills required
  • Data science-related certifications are a plus, but not required

"Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education."

Salary Range: 175,000.00 - 200,000.00 USD annual

Bonus Eligible

Please visit www.broadridgebenefits.com for more information on our comprehensive benefit offerings.

#LI-MR1

#LI-Hybrid

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective.

Use of AI in Hiring

As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.

US applicants: Clickhereto view the EEOC "Know Your Rights" poster.

Disability Assistance

We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws.

If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at 888-237-7769 or by sending an email toBRcareers@broadridge.com.


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About Broadridge

Sourced by ZipRecruiter

Broadridge, a global Fintech leader with more than $6 billion in revenues, provides the critical infrastructure that powers investing, corporate governance and communications to enable better financial lives. We deliver technology-driven solutions that drive digital transformation for our clients and help them get ahead of today’s challenges to capitalize on what’s next. For nearly six decades, we’ve been providing the critical infrastructure that powers corporate governance, capital markets and wealth and investment management. Our industry-specific technology, solutions and data and intelligence power business transformation – helping you get ahead of today’s challenges while preparing for what’s next.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New Hyde Park, NY, US

Year founded

1962

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