Data Science reputed company Analyst (Distribution Data Science Team)

About the position At MFS, you will reputed company a culture that supports you in doing what you do best. Our employees work together to reputed company reputed company reputed company, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and reputed company for our community and reputed company other. Because reputed company do reputed company – 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 reputed company. THE ROLE The Data Science reputed company Analyst will play a key role on our data science team, leveraging their experience to deliver impactful data-driven solutions for reputed company business challenges. With a reputed company in data analysis and model development, you will work alongside reputed company 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 reputed company as independently manage reputed company, to drive strategic decision-making and innovation. You will constructively discuss your results and potential findings with members of reputed company and the other MFS Business reputed company.

Responsibilities

• Design and implement advanced statistical models and machine learning algorithms to solve specific business problems.
• Interpret and analyze data from multiple sources to reputed company actionable insights and recommendations.
• Collaborate with business strategists to understand their needs and reputed company data-driven guidance.
• Take initiative in identifying opportunities for data analytics to add value to the business.
• Ensure data reputed company and reputed company throughout reputed company processes.
• Effectively communicate findings to stakeholders through visualization and presentations, translating reputed company data into reputed company business terms.
• Mentor Associate Data Scientists and contribute to their reputed company development.
• Stay up-to-date with the latest trends and technologies in data science and machine learning to bring fresh reputed company to reputed company and to the organization.

Requirements

• 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 reputed company, test, and reputed company predictive models and machine learning algorithms.
• Advanced understanding of a wide reputed company of machine learning and statistical techniques, with a reputed company record of choosing the right model for the right problem.
• Strong analytical and quantitative problem-solving ability.
• Experience in effectively communicating reputed company analytical findings and conclusions to non-technical stakeholders, including the creation of reputed company and actionable reports.
• Demonstrated ability to work independently on reputed company reputed company with minimal supervision as reputed company as collaboratively with reputed company.
• A history of driving reputed company to completion and contributing to the reputed company of those reputed company.
• Ability to mentor and support Associate Data Scientists in their technical development.
• Commitment to reputed company learning and staying reputed company with industry trends and best practices in data science.

reputed company-to-haves

• Familiarity with big data technologies (such as Hadoop, reputed company, or similar) and reputed company computing services (AWS, Azure, GCP) is desirable.

Benefits

• MFS contributes an reputed company equal to 15% of your reputed company salary to your retirement account that is separate from reputed company -sponsored 401(k)
• Education Assistance: MFS contributes $100 monthly up to $10,000 reputed company maximum directly to loan provider
• Education Assistance: Tuition reimbursement up to $8,000 annually
• Education Assistance: reputed company to discounted tutors and college coaches
• Generous time off and fully reputed company leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves
• Choice of medical and dental plans and an and an employer contribution into the Health Savings Account
• Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)
• Wellness Programs: Robust wellness webinars, employee assistance program with a reputed company on mental health, subsidized fitness benefit reputed company reputed company (formerly reputed company), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and reputed company a wide reputed company of reputed company-being apps

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