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Manager, Machine Learning and Applied Science Job Opening In New York City NY – Now Hiring StaffSource, LLC


Job description

Job Description Job Description Responsibilities Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact.

Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed.

Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring.

Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields.

Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems.

Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork.

Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels.

Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.

Requirements and Qualifications PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline.

PhD is strongly preferred.

5 years of industry experience, with at least 1 years of experience leading machine learning teams preferably in computer vision or pricing domain.

2 years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams.

Expert level knowledge in Python and SQL for model development and statistical analysis.

Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure).

Strong foundation in data structures, algorithms, and optimization techniques.

Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools.

Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences.

Previous experience working inside innovative, high-growth environments is a plus.

Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.

Company Description StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better.

Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills.

A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.

Founded in 2003, StaffSource now has a 20 year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more.

Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States.

We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Company Description StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better.

Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills.

A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.rnrn Founded in 2003, StaffSource now has a 20 year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more.

Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States.

We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Required Skill Profession

Other General


  • Job Details

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Are You Looking for Manager, Machine Learning and Applied Science Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at StaffSource, LLC adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Manager, Machine Learning and Applied Science Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in New York City NY. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Manager, Machine Learning and Applied Science?

Key qualifications for Manager, Machine Learning and Applied Science typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Manager, Machine Learning and Applied Science Job Success

StaffSource, LLC interview tips for Manager, Machine Learning and Applied Science

Here are some tips to help you prepare for and ace your Manager, Machine Learning and Applied Science job interview:

Before the Interview:

Research: Learn about the StaffSource, LLC's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Manager, Machine Learning and Applied Science interview at StaffSource, LLC, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the StaffSource, LLC's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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