Junior Data Scientist

Location: Amherst, MA 01002

*** Mention DataYoshi when applying ***

To finalize application, you must also submit a portfolio of project work . See below for more information.

What Great Looks Like In This Role:

Our ideal teammate is someone who is a continuous learner who can adapt and thrive in complex, uncertain and changing situations. Someone who enjoys tackling complex tasks in a collaborative environment is well-suited to a position on our team. Self-motivated individuals comfortable working in a challenging, fast paced, technical environment are highly encouraged to apply!

You Are Able To Demonstrate This Through :

A track record of thinking outside the box, taking initiative, and promoting innovation and change-making Ownership, commitment and follow-through in achieving results in school or work projects
Managing priorities effectively and adapting quickly to achieve goals
Pursuing opportunities for continuous learning to develop new skills and perspectives

About the Data Science Development Program:

The Data Science Development Program (DSDP) trains junior team members to become well-rounded data scientists within three years. The development program includes high impact project work, mentorship from senior data scientists, in-house training and workshops, and sponsorship for graduate level coursework at the University of Massachusetts Amherst.

Data Science Development Program Highlights:

High-impact project work: Junior data scientists work together with MassMutual’s data scientists to solve challenging problems in finance,
operations, marketing, digital initiatives, security, and product development.
Interdisciplinary learning: In the DSDP, junior data scientists are exposed to multiple fields within and adjacent to data science such as data visualization, software engineering, and enterprise architecture.
Mentorship: Peer mentors and senior mentors across data science domains are paired with each member of the DSDP
Training & Development: In-house workshops, tech-talks, seminars, and team-wide learning challenges such as our annual “Month of Code”
are available to all development program members.
Academic coursework: Members of the DSDP engage in graduate-level courses at the University of Massachusetts Amherst in computer science and statistics according to an individually tailored development plan.
Volunteer & Community Opportunities: Team members have many opportunities to volunteer throughout the year. Junior data scientists volunteer at hackathons throughout the state, attend community data events, speak at external talks, and participate in community data for good efforts annually.

About Us
The MassMutual Data Labs in downtown Amherst consists of a dynamic team that is actively engaged in dozens of high-impact projects across the enterprise, frequently working remotely with teams based in Springfield, MA, New York, and Boston. Our environment and workspace reflects our dedication to innovation and learning, and has a collaborative, start-up vibe. We hold weekly training meetings to present technical ideas, new models, or interesting code libraries.

Junior Data Scientist Duties Include

Statistical analysis

Programming in R and Python
Data ingestion and data cleaning
Model building, testing, deployment, and maintenance Building visualizations
Presenting and explaining output
Executive presentations and discussions
Adherence to internal standards in data science Collaboration across functions and business units

Application Instructions
To finalize your application for consideration, all applicants must submit a portfolio . For instructions, visit https://datascience.massmutual.com
We accept applications from early career professionals and graduating students from undergraduate and graduate programs.

Minimum qualifications
Bachelor’s degree
Academic study or independent training in computational, quantitative, or technical fields, such as computer science, math, physics, or statistics
Working knowledge of Python, R, and SQL
Quantitative and technical skills in math and computer science Community engagement, involvement, and volunteerism Demonstrated leadership and change-making
Strong communication skills
Applications are accepted on a rolling basis through 2020, with priority consideration for applications received by Friday, October 23rd
  • Ability to work in U.S. without sponsorship now or in the future
 Preferred qualifications
Enthusiastic about pursuing an interdisciplinary career in data science, analytics, and technology Research and/or practical experience in related fields
Demonstrated work experience through part time employment, internships, or professional endeavors

*** Mention DataYoshi when applying ***

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