ZipRecruiter

Log In

1

Manager Recommender Systems Jobs in Missouri (NOW HIRING)

Kohl's

Attract, retain, develop, manage, coach and assess data scientists in a balanced team * Work with ... Build and optimize recommendation and ranking systems balancing relevance, discovery, and business ...

Tt

Microsoft Dynamics Systems Manager

Kansas City, MO

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Monitor industry trends, new features, and product roadmaps to recommend and plan system ... Support sales and business development teams in managing opportunity pipelines, customer and ...

iHerb

Sr. Product Manager - Recs/AI

California, MO · On-site

$177 - $220/hr

Role The Senior Product Manager - Recommendations & AI will lead the evolution of our e-commerce ... Lead the development and optimization of AI-driven recommendation systems, leveraging generative AI ...

Cardiovascular Practice

Be Seen First

Practice Manager

Saint Louis, MO · On-site

$55K - $65K/yr

  • Retirement

  • PTO

Oversee and manage all day-to-day administrative and operational functions of the practice ... Train staff on EHR workflows; identify inefficiencies and recommend system improvements Required

Cardiovascular Practice

Be Seen First

Practice Manager

Saint Louis, MO · On-site

$55K - $65K/yr

  • Retirement

  • PTO

Oversee and manage all day-to-day administrative and operational functions of the practice ... Train staff on EHR workflows; identify inefficiencies and recommend system improvements Required

Silgan

Systems Administrator

Chesterfield, MO · On-site

Manage Active Directory, Group Policy, DNS, DHCP, and related domain services. * Maintain ... Evaluate emerging technologies and recommend improvements that increase reliability, security ...

Silgan

Systems Administrator

Chesterfield, MO · On-site

This role provides technical expertise across servers, virtualization, storage, identity management ... recommend improvements that increase reliability, security, efficiency, and business value. • ...

next page

Showing results 1-20

All JobsRecommender Systems JobsManager Recommender Systems JobsManager Recommender Systems Jobs in Missouri

Manager Recommender Systems information

What is a manager recommender systems?

A Manager of Recommender Systems is a professional who oversees the development and deployment of algorithms that suggest products, services, or content to users based on their preferences and behavior. They lead teams of data scientists, engineers, and analysts to design, implement, and optimize recommendation engines. Their role involves strategic planning, project management, and ensuring that the recommender systems align with business goals while delivering a personalized user experience.

What are the key skills and qualifications needed to thrive as a manager recommender systems?

To thrive as a Manager, Recommender Systems, you need a solid background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience in building recommendation algorithms. Familiarity with programming languages like Python or Scala, machine learning frameworks, and big data platforms such as Spark or Hadoop is essential, along with knowledge of A/B testing and model evaluation techniques. Strong leadership, project management, and cross-functional communication skills distinguish top performers in this role. These skills ensure effective team guidance, robust system development, and alignment of technical solutions with business goals in a fast-evolving digital landscape.

How does a manager recommender systems typically collaborate with data scientists and engineers to deliver effective recommendation solutions?

As a Manager of Recommender Systems, you will frequently coordinate cross-functional efforts between data scientists, machine learning engineers, and product teams. Your role involves setting project priorities, facilitating communication to ensure clear understanding of objectives, and removing roadblocks that may impede progress. You’ll also oversee the translation of business requirements into technical solutions, review algorithm performance, and guide the team in iterative model improvements. Regular collaboration ensures that the recommendations delivered align with both user needs and business goals.

What is the difference between Manager Recommender Systems vs Data Scientist?

AspectManager Recommender SystemsData Scientist
CredentialsAdvanced degree in CS, ML, or related field; experience with recommender algorithmsDegree in CS, Statistics, or related; strong programming and analytical skills
Work EnvironmentLeading teams, overseeing recommender system projects, collaborating with product teamsAnalyzing data, building models, interpreting results across various domains
Industry UsageTech companies, e-commerce, streaming services

While both roles require strong technical skills and data expertise, Manager Recommender Systems focus on leading teams and managing recommender system projects, whereas Data Scientists primarily analyze data and develop models across diverse applications.

What are the most commonly searched types of Recommender Systems jobs in Missouri?

The most popular types of Recommender Systems jobs in Missouri are:

What are popular job titles related to Manager Recommender Systems jobs in Missouri?

For Manager Recommender Systems jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Manager Recommender Systems jobs in Missouri look for?

The top searched job categories for Manager Recommender Systems jobs in Missouri are:

Manager Recommender Systems jobs near you

Lead Data Scientist- Recommendation Systems

Tiger Analytics, LLC

California, MO • On-site

$130 - $160/hr

Other

Posted 11 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking a highly skilled and experienced Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering (MLE). The ideal candidate will have a proven track record in designing, implementing, and deploying large-scale recommendation solutions, while also leading projects and mentoring teams. This role requires technical depth, hands-on coding, and the ability to engage directly with clients and stakeholders.

Key Responsibilities
  • Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment.
  • Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
  • Collaborate with engineering and product teams to integrate ML solutions into business applications.
  • Lead and manage projects, ensuring timely delivery of solutions aligned with business objectives.
  • Provide technical guidance and mentorship to junior data scientists and engineers.
  • Work directly with clients and stakeholders, demonstrating strong communication and problem-solving skills.
  • Drive innovation by exploring and implementing new techniques in recommendation systems and Al.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
Qualifications
  • 8+ years of overall experience in Data Science / Machine Learning. 3+ years of hands-on experience in Recommendation Systems.
  • Proven expertise in recommendation algorithms and MLE practices.
  • Strong programming skills in Python- Production level coding and SQL.
  • Experience working with Databricks, Azure, and Google Cloud Platform (GCP).
  • Demonstrated leadership and project management experience.
  • Proactive, accountable, and able to take ownership of complex initiatives.
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.
  • Stakeholder Influence: Ability to lead high-stakes analytics engagements and translate complex data findings into "so-what" insights for senior leadership.
  • Communication: Exceptional presentation skills, capable of driving strategic conversations and building consensus across diverse organizational teams.
  • Growth Mindset: A proactive hunger to learn emerging technologies and adapt to the evolving healthcare data landscape.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

#J-18808-Ljbffr

Apply