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Afternoon Data Science Mentor Jobs in Arizona (NOW HIRING)

... Mentor and grow a team of AI, data scientists and machine learning engineers. • Represent the AI function in executive forums and cross-functional steering committees. Qualifications : Required ...

By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi's digital transformation.

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ... recommendations on data collection, integration, and retention requirements, incorporating business ...

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps * Provide guidance or informal mentorship to junior data scientists or analysts when needed * Contribute ...

By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi's digital transformation ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Data Scientist II

Tempe, AZ · On-site

$131.20K - $172.20K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps * Provide guidance or informal mentorship to junior data scientists or analysts when needed * Contribute ...

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps * Provide guidance or informal mentorship to junior data scientists or analysts when needed * Contribute ...

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps * Provide guidance or informal mentorship to junior data scientists or analysts when needed * Contribute ...

You will also contribute to building best practices in data science and mentor others in the team, helping elevate the technical capabilities and impact of those around you. Responsibilities

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Afternoon Data Science Mentor information

What are the key skills and qualifications needed to thrive as an Afternoon Data Science Mentor, and why are they important?

To thrive as an Afternoon Data Science Mentor, you need expertise in data analysis, machine learning, and programming languages such as Python or R, typically backed by a degree in a quantitative field and relevant industry experience. Familiarity with tools like Jupyter Notebook, Git, and data visualization platforms, as well as mentorship or teaching certifications, is often required. Strong communication, patience, and the ability to give constructive feedback are crucial soft skills for effectively guiding and supporting learners. These skills are essential to foster student growth, ensure comprehension of complex topics, and create a positive, engaging educational environment.

How does an Afternoon Data Science Mentor typically support students during their sessions?

As an Afternoon Data Science Mentor, you’ll work closely with students to clarify complex data science concepts, provide guidance on projects, and offer feedback on assignments. Mentors often facilitate group discussions, conduct one-on-one check-ins, and help students troubleshoot technical issues. The role requires patience, strong communication skills, and the ability to adapt explanations for learners with diverse backgrounds. Collaboration with other mentors and instructional staff is common to ensure students receive well-rounded support and up-to-date information.

What does an Afternoon Data Science Mentor do?

An Afternoon Data Science Mentor guides and supports students or junior data scientists during afternoon hours, helping them understand key data science concepts, troubleshoot problems, and complete projects. They typically provide one-on-one or group mentoring sessions, answer questions related to programming, statistics, and machine learning, and offer career advice within the data science field. Their goal is to facilitate learning and ensure students gain practical skills needed for data science roles.

What is the difference between Afternoon Data Science Mentor vs Data Science Instructor?

AspectAfternoon Data Science MentorData Science Instructor
CredentialsTypically requires a data science background, certifications, and mentoring experienceRequires a background in data science or related field, often with teaching certifications
Work EnvironmentOne-on-one or small group mentoring sessions, flexible hoursClassroom or online teaching, structured curriculum
Employer & IndustryEducational platforms, bootcamps, private coachingUniversities, coding bootcamps, online course providers
Search & Comparison IntentLooking for personalized guidance and mentorship in data scienceSeeking formal instruction or courses in data science

The main difference is that an Afternoon Data Science Mentor offers personalized, flexible mentorship to individuals, focusing on practical skills and guidance. In contrast, a Data Science Instructor provides structured teaching in a classroom or online setting, often following a set curriculum. Both roles require data science expertise but differ in delivery style and environment.

What are the most commonly searched types of Data Science Mentor jobs in Arizona? The most popular types of Data Science Mentor jobs in Arizona are:
What are popular job titles related to Afternoon Data Science Mentor jobs in Arizona? For Afternoon Data Science Mentor jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Science Mentor jobs in Arizona look for? The top searched job categories for Afternoon Data Science Mentor jobs in Arizona are:
What cities in Arizona are hiring for Afternoon Data Science Mentor jobs? Cities in Arizona with the most Afternoon Data Science Mentor job openings:

Vice President - Data Science

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
Caris Life Sciences is transforming cancer care through precision medicine and innovative approaches. The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives, overseeing a multidisciplinary team and ensuring the delivery of impactful AI innovations.
Responsibilities:
• Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris’ molecular profiling platforms.
• Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
• Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
• Establish governance and standards for model development, validation, documentation, and lifecycle management.
• Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.
• Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
• Oversee engineering and production deployment of AI pipelines within Caris’ clinical reporting infrastructure.
• Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
• Lead development of clinically interpretable reporting frameworks for physicians.
• Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
• Build, mentor, and lead high-performing teams of data scientists and computational biologists.
• Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.
• Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.
Qualifications:
Required:
• PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
• 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.
• Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.
• Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.
• Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.
• Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.
• Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.
• Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.
• Outstanding verbal and written communication skills.
• Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.
• This is an onsite role based at our Phoenix, AZ office and requires regular in‑person presence.
Preferred:
• Experience working in regulated clinical laboratory environments (CAP/CLIA).
• Familiarity with cloud computing platforms and large-scale data infrastructures.
• Experience translating advanced analytics into physician-facing clinical products.
Company:
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology. Founded in 2008, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.