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Data Scientist Job Opening In Braintree – Now Hiring Voya Financial


Job description

We will do this together — with customers, partners and colleagues.

We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities.

The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities.

We are determined to support both individuals and communities in reaching a better financial future.

We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action.

We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued.

We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work.

Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture?

Start your Voyage –
Apply Now

About the Role

We’re looking for a versatile Data Scientist to join our growing analytics team.

In this role, you'll partner closely with business stakeholders to unlock value from data—whether that’s predicting advisor behavior, identifying growth opportunities, or automating manual workflows.

You’ll be hands-on across the entire data science lifecycle: wrangling data, building and deploying machine learning models, and supporting the MLOps and infrastructure needed to scale solutions across the organization.

This is a high-impact role for someone who blends deep technical skill with business curiosity—and who is passionate about deploying ML models and analytics into the real world.

Key Responsibilities

  • Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks).

    Design robust pipelines that feed into analytics and ML workflows.
  • Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets.

    Translate business questions into data requirements and analytics plans.
  • Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow.
  • Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows.
  • Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines.

    Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice.
  • Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration.
  • Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau.

    Focus on impact, not just analysis.
  • Minimum Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Engineering, or a related quantitative field.
  • 5+ years of experience in a data science, ML engineering, or analytics role.
  • Strong SQL, Python and ML Techniques programming skills.
  • Experience with Azure Cloud, Databricks, and/or Snowflake.
  • Experience building and deploying machine learning models in production environments.

    Hands-on experience with Databricks, including SparkML, and MLflow integration.
  • Familiarity with MLOps best practices, including version control, model monitoring, and automated testing.
  • Experience with tools such as Git, MLflow, Docker and workflow schedulers.
  • Ability to communicate complex technical work to non-technical stakeholders.
  • Experience with scalable model training environments and distributed computing.
  • Preferred Qualifications

  • Master’s degree in a quantitative or technical discipline.
  • Experience in financial services, fintech, or enterprise B2B analytics.
  • Knowledge of A/B testing, causal inference, and statistical experimentation.
  • Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.
  • Compensation Pay Disclosure:

    Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities.

    The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed.

    In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives.

    Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

    Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

    Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

    $97,160 - $152,880 USD

    Be Well.

    Stay Well.

    Voya provides the resources that can make a difference in your lives.

    To us, this means thriving physically, financially, socially and emotionally.

    Voya benefits are designed to help you do just that.

    That’s why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

    What We Offer

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan – with generous company matching contributions (up to 6%)
  • Voya Retirement Plan – employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time — 40 hours per calendar year
  • Critical Skills

    At Voya, we have identified the following critical skills which are key to success in our culture:

  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.

  • Business Acumen:Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.
  • Equal Employment Opportunity

    Reasonable Accommodations

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Data Scientist Potential: Insight & Career Growth Guide


    Real-time Data Scientist Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Braintree, United States, highlighting market share and opportunities for professionals in Data Scientist roles.

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    Are You Looking for Data Scientist Job?

    Great news! is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Voya Financial adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Data Scientist Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Braintree. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Scientist?

    Key qualifications for Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Scientist Job Success

    Voya Financial interview tips for Data Scientist

    Here are some tips to help you prepare for and ace your Data Scientist job interview:

    Before the Interview:

    Research: Learn about the Voya Financial's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

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    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

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    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Voya Financial's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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