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Senior Data Scientist Job Opening In remote us – Now Hiring Empower Retirement


Job description

Grow your career with a growing organization

Whether they’re helping people reach their long-term financial goals or providing personal wealth management strategies, every associate contributes to changing the lives of those we serve for the better.

When it comes to job satisfaction, that’s hard to beat.

And from a personal satisfaction perspective, you’ll enjoy the freedom to support causes that matter to you and experience a truly inclusive work environment.

Your future starts now.

As a Senior Data Scientist, you will play a key role in driving the analysis, development and implementation of AI and ML models, advanced analytical models, and algorithms to solve complex business problems.

You’ll work closely with other teams, including data engineers, AI/ML engineers, and architects, to drive data analysis and AI/ML solutions.

What you will do:

  • Execute data science initiatives within the enterprise technology group to optimize onboarding flows (for product), and to identify leads (in freemium model), convert leads to clients and in client retention
  • Maintain and improve production implementation of existing models (Git + Jenkins + Argo + Sagemaker)
  • Design and develop data pipelines and machine learning models, including all pre-processing and output validation
  • Respond to evolving and changing security conditions.

    Implement and contribute to security guidelines
  • Assess a variety of third-party and open-source models and technologies
  • Execute data-driven projects and provide insights and recommendations to key stakeholders
  • Collaborate with other teams, including data engineers, software engineers, and business analysts, to ensure that data is being used effectively to drive decision-making
  • Develop and implement advanced analytical models and algorithms to drive decision making and answer critical business questions
  • Experiment with emerging AI, ML, and data analysis techniques and technologies, with a rigorous focus on business value (specifically, uplift models, neural networks, reinforcement learning AND potential agentic workflows with third-party API's)
  • What you will bring:

  • 6+ years of professional data science experience
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field of study.

    (or equivalent experience)
  • Direct experience in designing, building, and delivering AI/ML solutions using agentic LLM's, uplift models, neural networks and reinforcement learning
  • Strong experience with data analysis and machine learning tools such as Python, R, and SQL
  • Solid understanding of data storage and retrieval technologies such as RDS, DynamoDB, and ElastiCache
  • Experience with data visualization tools such as Quick Sight, Tableau or Power BI
     
  • What will set you apart:

  • Experience with emerging technologies, such as Generative AI, Machine Learning and Advanced Analytics
  • Experience with modern cloud solutions 
  • Experience with agile, iterative development methodologies
  • Experience with data-driven decision-making and experimentation culture
  • Self-motivated individual that thrives in a team environment
  • Direct experience applying data science, AI, ML techniques to solve real customer or business problems
  • ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***

    What we offer you

    We offer an array of diverse and inclusive benefits regardless of where you are in your career.

    We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

  • Medical, dental, vision and life insurance
  • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment that includes the option to wear jeans
  • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
  • Paid volunteer time — 16 hours per calendar year
  • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
  • Business Resource Groups (BRGs) - internal networks that rally around common interest, experiences and identities such as race, ethnicity, gender, ability, military status and sexual orientation.

    BRGs play a vital role in educating and engaging our people and advancing our business priorities.
  • Base Salary Range

    $101,600.00 - $143,525.00

    The salary range above shows the typical minimum to maximum base salary range for this position in the location listed.

    Non-sales positions have the opportunity to participate in a bonus program.

    Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance.

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

    Equal opportunity employer Drug-free workplace

    We are an equal opportunity employer with a commitment to diversity.

    All individuals, regardless of personal characteristics, are encouraged to apply.

    All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

    ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption.

    You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet.

    Other necessary computer equipment, will be provided.

    You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***

    Job Posting End Date at 12:01 am on:

    10-05-2024

    Want the latest money news and views shaping how we live, work and play?

    Sign up for Empower’s and check out .

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Senior Data Potential: Insight & Career Growth Guide


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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 Empower Retirement 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 Senior Data Scientist Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in remote us. 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 Senior Data Scientist?

    Key qualifications for Senior 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 Senior Data Scientist Job Success

    Empower Retirement interview tips for Senior Data Scientist

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

    Before the Interview:

    Research: Learn about the Empower Retirement'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.

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    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:

    To prepare for your Senior Data Scientist interview at Empower Retirement, research the company, understand the job requirements, and practice common interview questions.

    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 Empower Retirement'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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