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Temporary Machine Learning Scientist Jobs in Philadelphia, PA

Varsity Tutors

Machine Learning Tutor

Chester, PA · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Trenton, NJ · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

InterSources

AI / Machine Learning Engineer

Malvern, PA · On-site

AI / Machine Learning Engineer Proven experience in data science, including data analysis, model development, and machine learning algorithms. Strong proficiency in Python for developing back-end ...

Indeed

Staff Machine Learning Engineer

Philadelphia, PA · On-site

Requires a minimum of 8 years of related experience with a Bachelor's degree in Computer Science ... Prior success in deploying impactful Machine Learning solutions to large-scale production systems ...

Indeed

Machine Learning Engineer III

Philadelphia, PA · On-site

Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 8 ... Prior success in deploying impactful Machine Learning solutions to large-scale production systems ...

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Temporary Machine Learning Scientist information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.

What types of projects do Temporary Machine Learning Scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are Temporary Machine Learning Scientists?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are the most commonly searched types of Machine Learning Scientist jobs in Philadelphia, PA? The most popular types of Machine Learning Scientist jobs in Philadelphia, PA are:
What are popular job titles related to Temporary Machine Learning Scientist jobs in Philadelphia, PA? For Temporary Machine Learning Scientist jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Scientist jobs in Philadelphia, PA look for? The top searched job categories for Temporary Machine Learning Scientist jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Temporary Machine Learning Scientist jobs? Cities near Philadelphia, PA with the most Temporary Machine Learning Scientist job openings:
Temporary Machine Learning Scientist jobs near you
Principal AI and Machine Learning Scientist

Principal AI and Machine Learning Scientist

Vanguard

Malvern, PA

Full-time

Posted 27 days ago

Job description

Join the AWMT AI/ML Team – Drive Innovation in Advice and Wealth Management We're looking for passionate AI/ML professionals to help shape the future of Advice and Wealth Management through cutting-edge technology and data science. As part of our team, you'll: Design, validate, and evolve LLMs and intelligent agents to deliver explainable, trustworthy recommendations in financial advice and portfolio management. Collaborate closely with engineers and cross-functional teams to improve LLM prompting, accuracy, and system reliability. Build and train machine learning models that enable hyper-personalized portfolios while proactively identifying and mitigating risks and anomalies. Lead and contribute to groundbreaking Gen AI initiatives, offering strategic guidance and technical expertise from concept to launch. In addition, you'll: Conduct deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven decision-making. Develop alternative modeling approaches to tackle complex challenges and push the boundaries of our capabilities. Mentor and support junior data scientists and analysts, fostering a culture of growth and innovation.

Responsibilities:

  • Leads the execution of large scale, more complex analytics projects. Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.


Qualifications:

  • Minimum of eight years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.
  • Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred.
  • Technolgy Skills - GenAI, AI/ML, LLM, SLM, Deep Learning, AWS

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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