... tensor- flow). * Intermediate to advanced skills with BI tools such as Tableau and PowerBI ... Experience with code management tools such as Github (familiarity with CI/CD practices preferred)
... tensor- flow). * Intermediate to advanced skills with BI tools such as Tableau and PowerBI ... Experience with code management tools such as Github (familiarity with CI/CD practices preferred)
... tensor- flow). * Intermediate to advanced skills with BI tools such as Tableau and PowerBI ... Experience with code management tools such as Github (familiarity with CI/CD practices preferred)
... tensor- flow). * Intermediate to advanced skills with BI tools such as Tableau and PowerBI ... Experience with code management tools such as Github (familiarity with CI/CD practices preferred)
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
As an example, we manage catalog data imported from hundreds of retailers, and we build product and ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
Manager Tensor information
What are the key skills and qualifications needed to thrive as a Manager Tensor, and why are they important?
To thrive as a Manager Tensor (commonly referred to as a TensorFlow Manager or Machine Learning Manager), you need a solid background in machine learning, deep learning frameworks (especially TensorFlow), and experience leading technical teams, typically backed by a relevant degree. Proficiency with TensorFlow, Python, data engineering tools, and cloud platforms, along with certifications in machine learning, are highly valued. Leadership, strong communication, and project management skills help you effectively guide teams and collaborate with stakeholders. These skills ensure successful project delivery, innovation, and alignment with organizational goals in complex AI-driven environments.
What are some common challenges faced by a Manager Tensor when leading AI and machine learning teams?
A Manager Tensor often encounters challenges such as balancing technical leadership with strategic oversight, managing projects that involve complex and evolving technologies, and ensuring effective communication among data scientists, engineers, and stakeholders. Additionally, staying current with rapid advancements in AI frameworks and guiding the team through best practices can be demanding. Collaboration across multidisciplinary teams and aligning projects with business objectives are also key aspects of the role.
What is a Manager Tensor?
A Manager Tensor is typically a managerial position responsible for overseeing teams that develop and implement machine learning models using TensorFlow or similar tensor-based frameworks. This role involves coordinating data science and engineering teams, ensuring project goals align with business objectives, and facilitating the deployment of scalable AI solutions. Additionally, a Manager Tensor may be tasked with mentoring staff, managing resources, and staying updated with the latest advancements in artificial intelligence. The position requires strong leadership, technical expertise in machine learning, and experience with deep learning platforms.
What is the difference between Manager Tensor vs Data Scientist?
| Aspect | Manager Tensor | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Analytics, or related fields; certifications like TensorFlow Developer are common | Bachelor's or Master's in Data Science, Statistics, Computer Science; certifications like Certified Data Scientist are common |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in tech or AI-focused companies | Analyzes data, builds models, reports insights in tech, finance, healthcare industries |
| Employer & Industry Usage | Used in AI, machine learning, and tech companies for managing TensorFlow projects | Used across industries for data analysis, predictive modeling, and research |
The main difference is that a Manager Tensor oversees AI projects involving TensorFlow, focusing on team management and project delivery, while a Data Scientist primarily analyzes data and builds models. Both roles require technical knowledge, but the Manager Tensor role emphasizes leadership and project management within AI initiatives.
What are popular job titles related to Manager Tensor jobs in Tennessee? For Manager Tensor jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Manager Tensor jobs in Tennessee look for? The top searched job categories for Manager Tensor jobs in Tennessee are:
What cities in Tennessee are hiring for Manager Tensor jobs? Cities in Tennessee with the most Manager Tensor job openings:
Full-time
Posted 12 days ago
Dollar General rating
4.0
Based on 4,431 frontline employees who took The Breakroom Quiz
39th of 39 rated national retailers
Job description
Work Where You Matter
At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.
Company Overview
General Summary:
This key role within Decision Science & Analytics will lead the ongoing development and execution of the Company's customer and marketing analytics program. This role will work collaboratively with key third parties, internal IT resources and the broader Decision Science organization. Day to day work will include post-campaign analysis, curation of audiences for campaigns, and developing predictive and deterministic models to deliver insights. Projects may include automating analytics processes, creating/updating customer segmentations, or ad hoc open-ended deep dives of transaction-level customer data.
Job Details
Duties & Responsibilities:
Knowledge, Skills and Abilities (KSAs):
Qualifications
Work Experience &/or Education:
At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.
Company Overview
General Summary:
This key role within Decision Science & Analytics will lead the ongoing development and execution of the Company's customer and marketing analytics program. This role will work collaboratively with key third parties, internal IT resources and the broader Decision Science organization. Day to day work will include post-campaign analysis, curation of audiences for campaigns, and developing predictive and deterministic models to deliver insights. Projects may include automating analytics processes, creating/updating customer segmentations, or ad hoc open-ended deep dives of transaction-level customer data.
Job Details
Duties & Responsibilities:
- Perform analytical tasks that include data gathering, analysis, visualization, and data-driven storytelling as a basis of project justification and innovation. Present findings in PowerPoint or Tableau/PowerBI to stakeholders, "telling the story" with data to non-technical audiences.
- Work cross-functionally across the Marketing department to understand their root business problem/question, translate those needs into analytics techniques, and deliver actionable insights.
- Develop dynamic, productionized, and scalable customer-level models that generate ROI for both DG and their customers. These models may include predictive propensity models and customer segmentations.
- Create automated, reusable analytics workflows from end-to-end: from developing and maintaining SQL/Python code to the final report or dashboard deliverable.
Knowledge, Skills and Abilities (KSAs):
- Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses.
- High-level written and verbal communication skills, including data design and BI best practices.
- Experience developing code to combine, clean and prepare data for modeling using some combination of SQL, Python and PySpark (including but not limited to pandas, numpy, scikit-Learn, matplotlib, tensor- flow).
- Intermediate to advanced skills with BI tools such as Tableau and PowerBI.
- Identify and implement proper data preparation and feature engineering methods, such as outlier identification and removal, principal components analysis (PCA), and general data structuring.
- Demonstrated ability to translate complicated analytics topics and insights into easily communicable concepts to non-technical audience, including model accuracy and feature importance.
- Practical experience ingesting and manipulating large volumes of data (millions of records).
- Proficiency with common analytical platforms, including distributed compute (e.g. Databricks, Hadoop, Snowflake, etc.).
- Experience with code management tools such as Github (familiarity with CI/CD practices preferred).
- Experience with retail industry or marketing and media networks is preferred.
Qualifications
Work Experience &/or Education:
- MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred.
- Bachelor's in a highly quantitative/STEM field considered with the right experience.
- 2-5 years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
- Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries.
What Dollar General employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Dollar General
Sourced by ZipRecruiter
What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!
Industry
Retail
Company size
10,000+ Employees
Headquarters location
Goodlettsville, TN, US