text: At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.
  Senior Data Science Analyst (Massachusetts Financial Services Co.; Boston MA):
  The Senior Data Science Analyst, in collaboration with the business strategist team, will analyze and evaluate large quantities of data. Leveraging advanced data analysis skills, the Senior Data Science Analyst will create, develop, and iterate innovative approaches to answer business questions. This individual will apply a data-driven analytical approach to a variety of problems related to the Compliance team. The individual in this role will be responsible for the entire analytical process - from data preparation to solution outlining to implementation and interpretation of results. The Senior Data Science Analyst will constructively discuss findings in dialogue with business strategists and senior leaders. Duties include: Working with the Business strategists, information technology and operations to integrate business needs with data analytics solutions; Identifying and preparing the data (from internal and external sources); Building models using advanced analytical techniques. This will include descriptive, prescriptive and other advanced analytical techniques; and Working with cross-functional stakeholders and leaders to gather and synthesize relevant data, analyzing and developing final recommendations. Hybrid telecommuting permitted pursuant to company policy.
  Minimum Requirements: Master's degree in Computer Science, Statistics, Mathematics, Business Analytics, or a related discipline, plus one year of relevant work experience in an analytics/data science role or related role pre- or post-Master's degree.
  Must have :
  Demonstrated experience with analyzing complex, high volume, high dimensionality data from varying sources and both structured and unstructured; Demonstrated ability to work collaboratively in a team environment and work effectively with people at all levels in the organization; Demonstrated ability to communicate complex ideas effectively, and willingness to understand the business implications of a wide variety of data; Demonstrated advanced knowledge of machine learning/statistical techniques, such as data mining, regression, decision trees, text mining; Knowledge of Gradient boosting, random forest, deep learning/AI; and Proficiency in Python, SQL, R and/or SAS. (Unless otherwise indicated, employer is seeking the ability in the skills listed above with no specific number of years of experience required. All experience can be gained concurrently.)
  Apply online at Search by title, location, or ref code 00045079. An EOE.
  At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others.
  What we offer: - Generous time-off provided: including "Responsible time off" for many roles, paid company holidays when the US Stock Exchange is closed, plus paid volunteer time
  - Family Focus: Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leave
  - Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributions
  - Wellness Programs: Robust wellness webinars, employee assistance program, gym reimbursement through our medical plans, fitness center discounts and more
  - Life & Disability Benefits: Company-paid basic life insurance and short-term disability
  - Financial Benefits: 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programs
  MFS is a
  hybrid work environment (remote/onsite) unless otherwise stated in the job posting .
  If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email firstname.lastname@example.org for assistance.
  MFS is an
  Affirmative Action and Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document and Pay Transparency Nondiscrimination Provision , linked for your reference.
  Holiday work, Full time, Temporary work, Work experience placement, Local area, Remote job, Flexible hours,