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Remote Master Science Jobs in Ohio (NOW HIRING)

The WFP Data Science organization is tasked with delivering quantitatively driven solutions to ... Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data ...

Visiting Faculty - Biological Sciences

Hamilton, OH ยท On-site +1

$34K - $43K/yr

Master's degree or ABD in Biology or closely related field by date of appointment. Consideration ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

INTERNSHIP - Threat Hunter - REMOTE

Stow, OH ยท Remote

$13.75 - $18.25/hr

Currently pursuing a bachelor's degree or master's degree in Cybersecurity, Computer Science, or ... remote friendly work environment, as well as training opportunities to expand your skill set (to ...

Data Strategist

Continental, OH ยท Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Master's degree in Data Science, Analytics, Information Management, or related discipline.

Master's or ABD in computer science, software engineering, computer engineering or a closely ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

Associate Director of External Relations

Oxford, OH ยท On-site +1

$37K - $47K/yr

Job Title Associate Director of External Relations Department Associate Dean Social Science Worker ... Master's degree and 10+ years of professional work experience. Event planning experience.

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

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Remote Master Science information

What are some common challenges faced by remote Master of Science professionals, and how can they overcome them?

Remote Master of Science professionals often encounter challenges such as maintaining effective communication with their team, managing time zones, and staying motivated without in-person supervision. To overcome these obstacles, it's important to establish clear communication channels, set a structured daily schedule, and use collaboration tools like video conferencing and project management software. Regular check-ins with supervisors and peers can also help foster a sense of connection and accountability, ensuring that projects stay on track and professional development continues remotely.

What is the difference between Remote Master Science vs Remote Data Scientist?

AspectRemote Master ScienceRemote Data Scientist
Required CredentialsMaster's degree in Science, related certificationsMaster's degree in Data Science, statistics, or related field
Work EnvironmentRemote, research-focused, analyticalRemote, data analysis, modeling, and visualization
Industry UsageResearch institutions, academia, scientific organizationsTech companies, finance, healthcare, e-commerce
Common Search IntentUnderstanding scientific roles, research projectsData analysis, machine learning, predictive modeling

The Remote Master Science role typically involves scientific research, experiments, and analysis in academic or research settings, requiring advanced scientific credentials. In contrast, a Remote Data Scientist focuses on analyzing data, building models, and deriving insights for business applications. While both roles require strong analytical skills and often similar educational backgrounds, their work environments and industry applications differ significantly.

What is a Remote Master of Science degree?

A Remote Master of Science (MSc) degree is a postgraduate academic program that allows students to complete their studies online or through distance learning, rather than attending classes in person. These programs are designed to provide flexibility for students who may be working professionals or have other commitments. Coursework, assignments, and sometimes exams are conducted online, and students may have access to virtual resources, faculty, and peer collaboration. Remote MSc degrees are offered in a variety of scientific and technical fields and are typically equivalent in rigor and recognition to on-campus programs.

What are the key skills and qualifications needed to thrive as a Remote Master Science Teacher, and why are they important?

To thrive as a Remote Master Science Teacher, you need deep subject matter expertise in science, a teaching credential, and experience in curriculum design or instruction. Familiarity with online learning platforms, virtual classroom tools, and digital assessment systems is typically required. Strong communication, adaptability, and student engagement skills help educators connect with diverse learners in a virtual environment. These skills are essential for delivering effective instruction and fostering student success in remote science education.
What are popular job titles related to Remote Master Science jobs in Ohio? For Remote Master Science jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Remote Master Science jobs? Cities in Ohio with the most Remote Master Science job openings:
WFP Machine Learning Scientist

WFP Machine Learning Scientist

J.P. Morgan

Columbus, OH โ€ข On-site, Remote

Full-time

Medical, Retirement

Posted 13 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

The Workforce Planning (WFP) organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP organization supports Chaseโ€™s call centers, back office, and ~5,200 retail branches.

As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in projects by the Artificial Intelligence(AI)/Machine Learning(ML) team that can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business.  You will typically encounter these problems which will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy.  You will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery. The AI/ML team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making.

Job Responsibilities

  • Design and development of Machine Learning, Artificial Intelligence and Statistical models.
  • Participate in the full model development lifecycle, from framing the problem to prepare documentation and passing independent model review (MRGR).
  • Lead AI/ML projects along with mentor and coach junior team members.
  • Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
  • Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research
  • Ensure the robustness of any data science solution.
  • Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
  • Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.

Required Qualifications, Capabilities, and Skills

  • Masterโ€™s Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
  • 2+ years of experience leading AI/ML projects with multiple team members
  • Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
  • Deep understanding of math and theory behind AI/ML algorithms.
  • Proficient in data science programming languages like Python, R or Scala.
  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. 

Preferred Qualifications, Capabilities, and Skills

  • Advanced expertise with Time Series and Operations Research techniques. 
  • Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
  • Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
  • Previous experience leading highly complex cross-functional technical projects with multiple stakeholders

This position is full time in office Monday - Friday.  This position is not hybrid nor remote.

ABOUT US

Chase is a leading financial services firm, helping nearly half of Americaโ€™s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicantsโ€™ and employeesโ€™ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Weโ€™re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions โ€“ all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.