Junior Data Scientist Data Science Development Program

  • Anywhere

Company :
Mass Mutual

Location :
Amherst, Massachusetts

Expiry Date :
Sun, 06 Dec 2020 23:59:59 GMT

Apply Job :
Open Link

Description :
Description Junior Data Scientist | Data Science Development Program Amherst, MA Deadline to apply: October 15, 2020 Start date: Mid-June, 2021 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 /dsdp/apply 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 Committed to Diversity and Inclusion Our employees are the embodiment of the idea that we all are stronger and better through our support for one another. By valuing people for who they are, how they think, and what they bring to the table, we’ve become a stronger, more innovative company. We continue to receive external recognition for our policies and programs that seek to create a diverse and inclusive environment. Americas Best Employer for Diversity Forbes (2019) Score of 100 on the Human Rights Campaign Corporate Equality Index (2019) National Association for Female Executives Top Company for Executive Women (2018) Disability Equality Index (DEI) Best Place to Work for Disability Inclusion (2019) Diversity Best Practices Inclusion Index Company (2018)