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Urgent! Data Science Lead Analyst (Distribution Data Science Team) Job Opening In Boston – Now Hiring MFS Investment Management
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.
THE ROLE
The Data Science Lead Analyst will play a key role on our data science team, leveraging their experience to deliver impactful data-driven solutions for complex business challenges.
With a foundation in data analysis and model development, you will work alongside a team of data scientists and business strategists, contributing to the development of data-driven solutions for business challenges.
Your work will be user case oriented: you will take on responsibility for the end-to-end process of extracting insights from large datasets.
You are expected to work collaboratively with cross-functional teams, as well as independently manage projects, to drive strategic decision-making and innovation.
You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units.
WHAT YOU WILL DO
Design and implement advanced statistical models and machine learning algorithms to solve specific business problems.
Interpret and analyze data from multiple sources to provide actionable insights and recommendations.
Collaborate with business strategists to understand their needs and provide data-driven guidance.
Take initiative in identifying opportunities for data analytics to add value to the business.
Ensure data quality and integrity throughout all processes.
Effectively communicate findings to stakeholders through visualization and presentations, translating complex data into clear business terms.
Mentor Associate Data Scientists and contribute to their professional development.
Stay up-to-date with the latest trends and technologies in data science and machine learning to bring fresh ideas to the team and to the organization.
WHAT WE ARE LOOKING FOR
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Physics, or another quantitative discipline with 5-6 yrs experience, or Master’s degree with 4 years of experience.
Demonstrated proficiency in Python, SQL, and data visualization tools (such as Tableau, Power BI, or similar).
Strong experience in cleaning, transforming, and visualizing large data sets.
Proven ability to develop, test, and deploy predictive models and machine learning algorithms.
Advanced understanding of a wide array of machine learning and statistical techniques, with a track record of choosing the right model for the right problem.
Familiarity with big data technologies (such as Hadoop, Spark, or similar) and cloud computing services (AWS, Azure, GCP) is desirable.
Strong analytical and quantitative problem-solving ability.
Experience in effectively communicating complex analytical findings and conclusions to non-technical stakeholders, including the creation of clear and actionable reports.
Demonstrated ability to work independently on complex projects with minimal supervision as well as collaboratively with a team.
A history of driving projects to completion and contributing to the success of those projects.
Ability to mentor and support Associate Data Scientists in their technical development.
Commitment to continuous learning and staying current with industry trends and best practices in data science.
#LI-JN1
#LI-HYBRID
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:
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 --0 or email for assistance.
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Unlock Your Data Science Potential: Insight & Career Growth Guide
Real-time Data Science Jobs Trends in Boston, United States (Graphical Representation)
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Great news! MFS Investment Management is currently hiring and seeking a Data Science Lead Analyst (Distribution Data Science Team) to join their team. Feel free to download the job details.
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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 MFS Investment Management adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Science Lead Analyst (Distribution Data Science Team) Jobs United States varies, but the pay scale is rated "Standard" in Boston. 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.
Key qualifications for Data Science Lead Analyst (Distribution Data Science Team) typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Science Lead Analyst (Distribution Data Science Team) interview at MFS Investment Management, 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 MFS Investment Management's products or services and be prepared to discuss how you can contribute to their success.
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