Looking to hire Data Science Product Managers? Find top talent to drive your business forward with our expert recruitment services. Get started today!
Identify Your Needs: Determine the specific skills and expertise required for your data science, big data, machine learning, or AI project. HopHR specializes in these areas and can help you find the right talent.
Contact Us: We have a team of experienced recruiters and talent acquisition specialists who can assist you in finding the right candidate. HopHR has a fast-track talent pipeline and uses innovative talent acquisition technology, which can expedite the process of finding the right specialist for your needs.
Discuss Your Requirements: Have a detailed discussion with us about your company's needs, the nature of the project, and the qualifications required for the specialist. This will help us understand your specific requirements and tailor our search accordingly.
Review and Select Candidates: We will use our talent pool and recruitment expertise to present you with a selection of candidates. Review these candidates, conduct interviews, and select the one that best fits your project needs.
Submission-to-Interview Rate
Submission-to-Offer Ratio
Kick-Off to First Submission
Annual Data Hires per Client
Diverse Talent Percentage
Female Data Talent Placed
We are trusted by both startups and Fortune 500 companies, ensuring that we can deliver high-quality Data Science Product Managers regardless of your company's size or industry.
Our unique approach is designed to provide actionable insights, helping you make informed decisions when hiring Data Science Product Managers.
We ensure the ideal job-talent fit each time, reducing the risk of hiring the wrong person for your Data Science Product Manager position.
Our focus on both technical and soft skills in the recruitment process ensures that the Data Science Product Managers we provide are well-rounded and capable of excelling in their roles.
Join over 100 startups and Fortune 500 companies that trust us
“I’ve used HopHR’s recruitment services as a hiring manager in two different companies. In my career, I’ve worked with a number of recruiters, but HopHR is in a class of its own when it comes to partnering in the process. They just “get it” and have consistently identified excellent global candidates for my positions at all levels of experience.”
“It’s been a great pleasure working with HopHR. Through their tireless efforts, we were able to make our first hire with them quite quickly. We made the hire out of 5 candidates we received on the very first talent batch. I would gladly recommend the usage of their services.”
“HopHR has been really able to identify our needs and consistently provide quality candidates. The data scientists we seek may not necessarily fit the typical profile, but HopHR has proven that they listen to our feedback and adjust searches to find the type of candidate we are looking for.”
“I have had an opportunity to engage with HopHR as a hiring manager in two different organizations. HopHR has a unique ability to quickly understand the needs of the roles and to provide high-caliber candidates, expertly navigates all stages of the candidate experience, making it easier to engage and to close out offers.”
Hiring a great Data Science Product Manager requires a keen eye for detail. Look for candidates with a strong background in data science, product management, and analytics. They should have experience in managing data-driven products and a deep understanding of data analysis tools. Check their problem-solving skills and ability to work in a team. Also, ensure they have excellent communication skills to effectively convey complex data insights. Remember, a great Data Science Product Manager can significantly boost your business growth.
CVS Health, a US leader with 300K+ employees, advances America’s health and pioneers AI in healthcare.
AstraZeneca, a global pharmaceutical company with 60K+ staff, prioritizes innovative medicines & access.
HCSC, a customer-owned insurer, is impacting 15M lives with a commitment to diversity and innovation.
Clara Analytics is a leading InsurTech company that provides AI-powered solutions to the insurance industry.
NeuroID solves the Digital Identity Crisis by transforming how businesses detect and monitor digital identities.
Toyota Research Institute advances AI and robotics for safer, eco-friendly, and accessible vehicles as a Toyota subsidiary.
Vectra AI is a leading cybersecurity company that uses AI to detect and respond to cyberattacks in real-time.
BaseHealth, an analytics firm, boosts revenues and outcomes for health systems with a unique AI platform.
Yes, HopHR excels in high-volume quality sourcing with efficient candidate screening. Our platform streamlines the candidate identification and screening process, allowing mid-size companies to access a large pool of qualified candidates promptly and efficiently, outperforming traditional recruitment methods.
An ideal Data Science Product Manager should possess a strong background in data science, including knowledge of machine learning and AI. They should also have experience in product management, excellent communication skills, and a deep understanding of user experience and market trends.
HopHR stands out in sourcing talent for startups by employing cutting-edge talent search methods and technologies. Our unique sourcing strategies ensure startups find the best-fit candidates, offering a distinctive and effective approach to talent acquisition.
Ask about their experience with data analysis tools, machine learning algorithms, and product development methodologies. Request for specific examples of data-driven projects they've managed. A technical test or case study can also be useful to assess their practical skills.
Post-fundraising, HopHR accelerates startup growth by providing targeted rapid scaling solutions. Through streamlined talent acquisition strategies, startups can swiftly enhance their data science capabilities to meet the demands of their expanding business landscape.
A Data Science Product Manager should have experience in data analysis, product development, and project management. They should also have industry-specific knowledge, understanding its unique challenges and opportunities. Familiarity with relevant data tools and technologies is crucial.
Mid-size companies should prioritize versatile analytics talent with expertise in data interpretation, machine learning, and business intelligence to meet specific mid-size company talent needs in the dynamic business environment.
Evaluate their understanding of data science concepts, methodologies, and tools. Check their experience in managing data science teams and product development. Look for strong leadership, communication, and project management skills. Also, assess their ability to translate data insights into strategic product decisions.
HopHR seamlessly integrates with existing recruiting systems in large enterprises, offering enterprise hiring solutions that streamline the recruitment process. Our adaptable platform complements and enhances the functionality of current systems, ensuring a cohesive and efficient hiring strategy.
Consider their ability to translate complex data into actionable strategies, experience in managing data science projects, understanding of data analysis tools, and ability to collaborate with cross-functional teams. Also, assess their problem-solving skills and knowledge of product management principles.
Access top vetted diverse Talents. Accelerate your hiring process, reduce interviews, and ensure quality.
.png){kind=logo}
