Edkey is an AI-powered education technology company building the intelligence layer between learning and career outcomes.

Founded by a team of former Edmodo executives and edtech veterans collectively serving over 140 million students and teachers worldwide. Edkey combines decades of experience across institutions including Stanford University, Redbird Advanced Learning, McGraw Hill, Discovery Education, and Edmentum. With more than 50 years of experience in educational product innovation, our team understands both the classroom and the future of work.

Our Mission

To empower students to transition fluidly from classroom to career — and back again — using AI to support continuous upskilling and advancement.

Our Core Products

QuickTakes

QuickTakes is an AI-powered study companion that transforms lectures into structured, personalized learning materials. Students can record live classes or upload audio, video, or YouTube links to automatically generate:
Lecture summaries
Study guides
Glossaries of key terms
Structured outlines
Lecture transcripts
Practice problems
Recommended videos

QuickTakes allows students to focus fully during lectures while AI handles the note-taking and knowledge organization — improving comprehension, retention, and performance.

careertakes

careertakes extends learning beyond the classroom by helping students translate their academic work into real-world opportunities.
Powered by AI, careertakes helps users build professional profiles, optimize resumes, and discover relevant job matches aligned with their skills and coursework. By connecting education to employability, careertakes bridges the gap between studying and getting hired.

The Edkey Vision

Education shouldn’t stop at note-taking. It should unlock opportunity.
Edkey is building an integrated ecosystem where AI supports students through every stage — from understanding lecture material to securing meaningful career outcomes.

From classroom to career — powered by AI.

Industry: Software Development
Company Size: 11-50 employees

edkey

Savvy Admin PROD

**Role Overview**

Confidential client is hiring a Data Scientist to join a multidisciplinary actuarial and data science team focused on designing and delivering analytical insights that improve core actuarial processes. This role uses statistical modeling, machine learning, and data engineering to build and maintain loss models and other predictive solutions. The ideal candidate is experienced with Python and/or R, SQL, the end-to-end model lifecycle, and communicating results to technical and non-technical partners.

**What You’ll Do**

- Create statistical models, algorithms, and machine learning solutions to enhance traditional actuarial processes and loss modeling assumptions

- Apply Python and/or R to develop, maintain, and support production and research models across lines of business

- Design and implement end-to-end model lifecycle components: requirements, development, validation, deployment, monitoring, and documentation

- Extract and profile data using SQL and work with data engineering partners to ensure model-ready datasets

- Collaborate with actuaries, product partners, data engineers, and stakeholders to align technical solutions with business strategy

- Translate model results and limitations into clear presentations and actionable recommendations for non-technical audiences

- Contribute to long-term tools and frameworks that scale modeling and analytic capabilities

- Stay current with research and state-of-the-industry techniques, proposing innovations where they add business value

**Location & Work Arrangement**

confidential client offers a Hybrid or Remote arrangement depending on experience and role fit. Candidates living near an office (Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC) are expected to be in-office approximately 3 days per week (Tuesday–Thursday). Candidates not near an office may be eligible for a remote arrangement, with an expectation to come into an office as business needs require.

**Minimum & Preferred Qualifications**

- 2+ years of relevant industry or applied data science experience recommended

- Bachelor’s degree required; preference for Master’s in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a related analytical field

- Preferred: progress toward relevant actuarial or professional credentials (e.g., FCAS, FSA, CSPA)

- Hands-on experience in statistical modeling, inference, and building machine learning algorithms using Python and/or R

- Proficient in SQL and comfortable navigating relational databases to extract and transform attributes for modeling

- Familiarity with model deployment and reproducibility tools; experience with Unix, Git, Shiny, and R Markdown is a plus

- Demonstrated experience across the end-to-end modeling lifecycle (requirements, development, validation, monitoring)

- Strong written and verbal communication skills; able to present technical results to non-technical stakeholders

- Self-motivated, results-oriented, and effective as a collaborative team member with strong ownership of deliverables

- Candidates must be authorized to work in the U.S. without company sponsorship. confidential client will not support the STEM OPT I-983 Training Plan endorsement for this position.

**Compensation**

The annualized base pay range for this role is:

- $90,160 - $135,240

This range is primarily based on external market data. Actual base pay may vary based on experience, proficiency, demonstrated competencies, and other job-related factors. Total compensation may include additional elements such as bonuses, long-term incentives, and recognition programs.

**Equal Opportunity & Hiring Transparency**

CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, **AI tools may be used ** to assist with application review or resume screening. These tools **do not replace human decision-making **. Final hiring decisions are made by people.

- If you have questions about how your data is used, please contact us directly.

Data Analyst

HTC Global Services Inc., founded in 1990, headquartered in Troy, Michigan, is a global provider of Information Technology and Business Process Services and Solutions. Our expertise in consulting, design, engineering, and operations helps us to provide innovative technology services, positioning us as a technology partner of choice.

We leverage our domain expertise in multiple verticals and harness emerging technologies (Robotic Process Automation (RPA), Internet of Things (IoT), Cybersecurity, Artificial Intelligence, Machine Learning, and much more) to enable our clients to build future-ready and sustainable businesses. Our partnership with leading technology partners empowers our continuous endeavor to offer clients world-class technology services, to help them realize business transformation, and maximize returns.

Our business partner approach helps us to build and develop long-term client relationships. Similarly, we value our people as one of our primary stakeholders. Our value driven work environment is built on diversity, equity, and inclusion, where mentoring our teams has been integral to our culture, resulting in long and fulfilling careers.

For more information, visit https://www.htcinc.com/

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

HTC Global Services

**Job Description**

**Job Title**

Data Analyst – Fraud & AML Platforms

**Overview / Summary**

We are seeking a Data Analyst to support Fraud and AML platforms by reviewing data-impacting changes, defining data requirements, and ensuring accurate data mappings. This role involves close collaboration with business stakeholders and source system owners to translate requirements into actionable documentation and support development teams throughout implementation.

**Key Responsibilities**

- Review and analyze data-impacting changes across Fraud and AML platforms

- Understand what is changing, data sources, and downstream impacts

- Collaborate with source system owners and business stakeholders to gather data requirements

- Translate requirements into clear, actionable mapping documents

- Create and maintain source-to-target data mappings with documented transformation logic and acceptance criteria

- Write detailed JIRA stories covering business value, mapping changes, data onboarding steps, and expected platform impact

- Assess the impact of new data sources, product changes, or business enhancements on screening and detection platforms

- Hand off refined requirements to scrum teams and provide clarification during development and testing

- Identify and flag data quality issues at the source

**Required Qualifications**

- Experience reviewing and analyzing data-impacting changes

- Ability to gather and translate data requirements into mapping documents

- Experience creating and maintaining source-to-target data mappings

- Ability to document transformation logic and acceptance criteria

- Experience writing detailed JIRA stories

- Understanding of Fraud and AML platforms

- Ability to assess impacts of data and product changes on screening and detection platforms

- Strong collaboration skills with business stakeholders and technical teams

- Ability to identify data quality issues

**What Makes HTC A Great Place To Build Your Future**

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Data Analyst – Fraud & AML Platforms - Senior

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