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Live In Nhl Data Science Jobs in Massachusetts (NOW HIRING)

In this role, the individual leads machine learning projects with diverse scope and complex ... We offer a wide range of benefits to meet your evolving needs and help you live your best life at ...

So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with ... The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of ...

We are seeking an experienced Data Science leader to advance data-driven drug discovery and ... In this role, you will partner with Pharmacokinetic Sciences (PKS) Modeling & Simulation (M&S ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

Advancements in AI and drug discovery are creating more candidate drugs than the industry can ... About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ...

PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of ... data science, analytics, or AI environment. * Prior experience mentoring or managing talent.

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Live In Nhl Data Science information

What is the difference between Live In Nhl Data Science vs Live In Nhl Data Analysis?

AspectLive In Nhl Data ScienceLive In Nhl Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or sports analytics companiesOperational settings, sports teams, or media outlets focusing on game insights
Employer & Industry UsageTech firms, sports analytics companies, NHL organizationsSports teams, media outlets, NHL organizations

Live In Nhl Data Science involves advanced analytics, machine learning, and predictive modeling to analyze NHL data, while Live In Nhl Data Analysis focuses on interpreting data for insights, reporting, and decision-making. Both roles require familiarity with NHL data but differ in technical complexity and scope.

What are the most commonly searched types of Nhl Data Science jobs in Massachusetts? The most popular types of Nhl Data Science jobs in Massachusetts are:

Director, Data Science

Fidelity Investments

Boston, MA • On-site

$126K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
This is an individual contributor data science role. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.
You will have:
  • PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience.
  • Deep expertise in Python, data-centric ML techniques including engineering principles for building efficient inference tools
  • Experience taking a model from research to production and realizing measurable value from it to the team or firm
  • Ability to work on and drive progress for multiple projects at the same time
  • Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
  • Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
  • Excellent planning, project management, leadership, and research skills
  • Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
  • Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research to real-world data challenges
  • Experience or strong interest in quantitative finance and modeling financial markets

The Team
We are a data science team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and have incorporated LLM use cases into our pipeline, amongst other emerging technologies.
es.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $126,000-255,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Data Analytics and Insights

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