\nMatterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. Youโll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterportโs 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services. This position will report to the Software Vice President for Vision & Learning. \n\n\n\nWhat you will do:\n* Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.\n* Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.\n* Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.\n* Lead by example as a working manager with strong hands-on engineering fundamentals.\n* Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.\n* Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.\n* Work with cross-functional teams across Product, Sales, Customer Success and Business Development\n* Advocate for new technical architecture and innovation \n* Implement and refine development and cross-functional processes\n* Hire, mentor, lead, and coach senior and principal engineers to meet their full potential\n* Act as a leader for implementing best-practices across the organization\n\n\n\n Who you bring:\n* Masterโs degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.\n* 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.\n* Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.\n* Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.\n* Strong experience with AWS cloud services\n* Strong knowledge of data management processes for large-scale machine learning datasets.\n* Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.\n* Strong knowledge of software engineering best practices, including version control, testing, and deployment.\n* Experience with model quantization, distillation or other compression techniques.\n* Excellent communication and collaboration skills.\n\n\n\nNice to Have:\n* Master's degree or PhD in Computer Science, or related field\n* Strong knowledge of C++\n* Experience with 3D graphics, computer vision, point clouds, or spatial data\n* Experience with data streaming and real-time processing frameworks such as Kafka\n* Experience with ML dataset management tooling, such as Activeloop Deeplake.\n* Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.\n* Experience with big data technologies such as Snowflake, Spark, or Hive.\n* Experience with model interpretability and explainability techniques.\n* Experience with building and deploying machine learning models on edge devices or IoT devices\n\n\nWe want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but donโt necessarily meet every bullet in the job description we encourage you to apply.\n\nThe US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPerks & Benefits\n* Comprehensive health plans* โ 100% of premiums covered for employees & 88% of dependent premiums for US employees\n* Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees โ Take time to rest, relax and explore! Plus we offer Summer Fridays!\n* 401k, Company ownership in the form of RSUโs & ESPP Program\n* Medical and retirement benefits vary by Country \n* For more detail visit www.matterport.com/careers \n\n\n\n\n\n\nBelief in Diversity\n\n\nAt Matterport, we donโt just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We wonโt unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discrimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements.\n\n\nMatterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act\n\n\nFor more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Education, Cloud, Senior and Engineer jobs that are similar:\n\n
$50,000 — $80,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nUnited States
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
SENIOR LINUX IT SYSTEMS ENGINEER \n\nFreeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.โฏ \n\nWe are looking for a highly passionate and self-motivated individual who can excel in a dynamic work environment and will play a critical role in building our IT infrastructure. In this role, you will architect and deploy a wide variety of IT solutions to enable our advanced heterogeneous computing environment to process petabytes of data and integrate with a hybrid cloud platform. This high-impact role with a rapidly scaling technology company is perfect for someone who wants to build things from the ground up using the latest developments in big data and cloud computing.โฏ \n\n3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!โฏ \n\nResponsibilities:โฏ \n\n\nBuild highly resilient, high-performance, scalable, and flexible IT systems \n\nDesign, implement, manage, document & troubleshoot: \n\n\nCompute and storage environments to support ML, big data, and Kubernetes workloads \n\nData management and archiving systems\n\n\n\n\n\n* Perform DevOps activities such as: \n\n\nInfrastructure as Code (IaC): Develop and maintain infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of infrastructure resources. \n\nContinuous Integration/Continuous Deployment (CI/CD): Design, implement, and maintain CI/CD pipelines to automate software delivery processes, including code compilation, testing, and deployment. \n\nMonitoring and Alerting: Implement and maintain monitoring and alerting systems to ensure the health, performance, and availability of systems and applications. This includes setting up dashboards, configuring alerts, and responding to incidents. \n\nSecurity and Compliance: Collaborate with security teams to implement and maintain security best practices, including vulnerability scanning, access control, and compliance with industry standards and regulations.\n\n\n\n\n\nMaintain and administer hybrid cloud infrastructure \n\nNetworking and firewall hardware and software management\n\nTroubleshoot various technical issues across operating systems (Linux, Windows, etc.), multiple applications, and hardware (Ruckus, Cisco, FortiGate, Supermicro, etc.)\n\nOperate under tight timelines and limited resources (be scrappy)\n\nRoll up your sleeves, have a โno job too big or smallโ mentality, be flexible, etc. \n\n\n\n\nBasic Qualifications:โฏ \n\n\n5+ years of experience in IT Linux systems engineering \n\nExperience with containerization technologies like Docker and container orchestration platforms like Kubernetes (cloud and on-prem) \n\nDemonstrated experience with automation tools such as Ansible, Puppet, or Chef\n\nHands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, including provisioning, monitoring, and scaling resources in a cloud-native environment.\n\nExperience with CI/CD pipelines using tools like Jenkins, Github Actions or CircleCI \n\nExperience with monitoring tools such as Prometheus, Grafana, or ELK stack (Elasticsearch, Logstash, Kibana) \n\nLinux scripting/automation experience using shell, bash, Python, or similar language \n\n\n\n\nNice to Have:โฏ \n\n\nExperience working for an engineering company and building an IT infrastructure for software or hardware engineers \n\nExperience with VMware deployment clusters and high availability \n\nKnowledge of best practices around data security and implementation of those practices (edge protection, ISO/IEC 27001, ITAR, PII, etc.) \n\nExperience scoping, implementing, and partitioning physical and virtual servers in an enterprise environment for analysis clusters and computing, data storage, programming development environments, and other applications \n\nProven ability to work independently with minimal supervision; must be a self-motivated self-starter that can initiate ideas \n\nAbility to participate in after-hours, on-call support for computer, network, and phone issues \n\nExperience setting up and supporting a remote work environment for offsite employees \n\nDegree in computer science, engineering, IT, information systems, math, physics, or similar technical discipline \n\n\n\n\nLocation: \n\n\nWe are located in Hawthorne in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways.โฏOur facility is in the heart of LAโs vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.โฏ \n\n\n\n\nWhat We Offer: \n\n\nWe have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. \n\nWe offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. \n\nBenefits \n\n\nSignificant stock option packages\n\n100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)\n\nLife insurance\n\nTraditional and Roth 401(k)\n\nPaid vacation, sick leave, and company holidays\n\nGenerous Paid Parental Leave and extended transition back to work for the birthing parent\n\nFree daily catered lunch and dinner, and fully stocked kitchenette\n\nCasual dress, flexible work hours, and regular catered team building events\n\n\n\n\n\nCompensation โฏ\n\n\nAs an early-stage startup, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the companyโs current stage of development and allows the employee to grow and develop within a role.\n\nIn addition to the significant stock option package, the estimated salary range for this role is $110,000-$180,000, inclusive of all levels/seniority within this discipline.\n\n\n\n\n\nFreeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.โฏ \n\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Docker, DevOps, Cloud, Senior and Engineer jobs that are similar:\n\n
$65,000 — $110,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nLos Angeles, California, United States
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
SENIOR IT SYSTEMS ENGINEER (BIG DATA INFRASTRUCTURE)\n\nFreeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.โฏ \n\nWe are looking for a highly passionate and self-motivated individual who can excel in a dynamic work environment and will play a critical role in building our IT infrastructure. In this role, you will architect and deploy a wide variety of IT solutions to enable our advanced heterogeneous computing environment to process petabytes of data and integrate with a hybrid cloud platform. This high-impact role with a rapidly scaling technology company is perfect for someone who wants to build things from the ground up using the latest developments in big data and cloud computing.โฏ \n\n3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!โฏ \n\nResponsibilities:โฏ \n\n\nBuild highly resilient, high-performance, scalable, and flexible IT systems \n\nDesign, implement, manage, document & troubleshoot: \n\n\nCompute and storage environments to support ML, big data, and Kubernetes workloads \n\nData management and archiving systems\n\n\n\n\n\n* Perform DevOps activities such as: \n\n\nInfrastructure as Code (IaC): Develop and maintain infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of infrastructure resources. \n\nContinuous Integration/Continuous Deployment (CI/CD): Design, implement, and maintain CI/CD pipelines to automate software delivery processes, including code compilation, testing, and deployment. \n\nMonitoring and Alerting: Implement and maintain monitoring and alerting systems to ensure the health, performance, and availability of systems and applications. This includes setting up dashboards, configuring alerts, and responding to incidents. \n\nSecurity and Compliance: Collaborate with security teams to implement and maintain security best practices, including vulnerability scanning, access control, and compliance with industry standards and regulations.\n\n\n\n\n\nMaintain and administer hybrid cloud infrastructure \n\nNetworking and firewall hardware and software management\n\nTroubleshoot various technical issues across operating systems (Linux, Windows, etc.), multiple applications, and hardware (Ruckus, Cisco, FortiGate, Supermicro, etc.)\n\nOperate under tight timelines and limited resources (be scrappy)\n\nRoll up your sleeves, have a โno job too big or smallโ mentality, be flexible, etc. \n\n\n\n\nBasic Qualifications:โฏ \n\n\n5+ years of experience in IT Linux systems engineering \n\nExperience designing infrastructure for big data and/or high-performance computing (HPC) \n\nDemonstrated experience with automation tools such as Ansible, Puppet, or Chef \n\nHands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, including provisioning, monitoring, and scaling resources in a cloud-native environment. \n\nExperience with CI/CD pipelines using tools like Jenkins, Github Actions or CircleCI \n\nExperience with containerization technologies like Docker and container orchestration platforms like Kubernetes (cloud and on-prem) \n\nExperience with monitoring tools such as Prometheus, Grafana, or ELK stack (Elasticsearch, Logstash, Kibana) \n\nLinux scripting/automation experience using shell, bash, Python, or similar language \n\n\n\n\nNice to Have:โฏ \n\n\nExperience working for an engineering company and building an IT infrastructure for software or hardware engineers \n\nExperience with VMware deployment clusters and high availability \n\nKnowledge of best practices around data security and implementation of those practices (edge protection, ISO/IEC 27001, ITAR, PII, etc.) \n\nExperience with Active Directory and multi-platform authentication/identification environments. \n\nExperience scoping, implementing, and partitioning physical and virtual servers in an enterprise environment for analysis clusters and computing, data storage, programming development environments, and other applications \n\nProven ability to work independently with minimal supervision; must be a self-motivated self-starter that can initiate ideas \n\nAbility to participate in after-hours, on-call support for computer, network, and phone issues \n\nExperience setting up and supporting a remote work environment for offsite employees \n\nDegree in computer science, engineering, IT, information systems, math, physics, or similar technical discipline \n\n\n\n\nLocation: \n\n\nWe are located in Hawthorne in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways.โฏOur facility is in the heart of LAโs vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.โฏ \n\n\n\n\nWhat We Offer: \n\n\nWe have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. \n\nWe offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. \n\nBenefits \n\n\nSignificant stock option packages\n\n100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)\n\nLife insurance\n\nTraditional and Roth 401(k)\n\nPaid vacation, sick leave, and company holidays\n\nGenerous Paid Parental Leave and extended transition back to work for the birthing parent\n\nFree daily catered lunch and dinner, and fully stocked kitchenette\n\nCasual dress, flexible work hours, and regular catered team building events\n\n\n\n\n\nCompensation โฏ\n\n\nAs an early-stage startup, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the companyโs current stage of development and allows the employee to grow and develop within a role.\n\nIn addition to the significant stock option package, the estimated salary range for this role is $90,000-$180,000, inclusive of all levels/seniority within this discipline.\n\n\n\n\n\nFreeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.โฏ \n\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Docker, DevOps, Cloud, Senior, Engineer and Linux jobs that are similar:\n\n
$65,000 — $110,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nLos Angeles, California, United States
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Remote Data Science Undergraduate Internship Summer 2023
Internship Overview
The Home Depot's Summer Internship program offers college students an opportunity to develop leadership skills and gain hands on experience in a corporate environment. During an 11 - week period from May 15 - July 28, 2023, interns will be assigned to a functional team such as Supply Chain, Marketing, e-commerce, Technology, Finance, Operations, Merchandising, Outside Sales & Services, Human Resources, etc. Interns will learn more about our retail business and our corporate offices while having the opportunity to work on a pre-assigned project that impacts the function they are supporting. Additionally, interns participate in networking and development activities that set them up for success as they build their careers.
Data Science Intern Description
The Data Science Intern Program offers talented college students the opportunity to develop their advanced data science skills while supporting the Company's strategic objectives. Intern candidates are assigned to a project aligned to business areas such as e-Commerce, Merchandising, Operations or Finance. The Home Depot's internship program was recently named in the Top 20 in the US and offers college students an opportunity to develop leadership skills and gain hands on experience working with a number of leaders on projects that directly impact the business for one of the world's leading retailers. Data Science interns will focus on working with a variety of data science roles and functions to translate business questions into actionable insights and deliver high quality analytical solutions.
Tasks, Responsibilities, And Key Accountabilities Include
Business Collaboration
Participate in meetings across the enterprise data science community, gaining exposure to cross functional business units.
Build networking relationships and receive mentoring from team members and top-level management
Communicating Results
Communicate findings and project status clearly and professionally through presentations
Provide recommendations to upper management.
Provide comprehensive report-out to senior leaders on assignments and other related projects
Data Analytics
Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions
Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python
Description of Roles: (Career paths that utilize this skillset full-time)
Role
After the Internship, here are some examples of early career roles for interns with a background in Data Science
At The Home Depot, our associates always have room to move up and explore new opportunities.
Data Science Analyst
Associate Data Scientist
Data Scientist
Nature And Scope
Typically reports to Manager, Information Technology
No direct responsibility for supervising others.
Environment
Environmental Job Requirements:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Travel
Typically requires overnight travel less than 10% of the time.
Standard Minimum Qualifications
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Education Required
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
Years Of Relevant Work Experience
0 years
Physical Requirements
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Preferred Qualifications
Working knowledge of Microsoft Office Suite
Working knowledge of Tableau
Working knowledge of presentation software (e.g., Microsoft PowerPoint)
Currently pursuing a Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.)
Excellent academic performance
Experience in a modern scripting language (preferably Python)
Experience running queries against data (preferably with Google BigQuery or SQL)
Experience with data visualization software (preferably Tableau)
Exposure to statistics, predictive modeling and other data science methodologies
Knowledge, Skills, Abilities And Competencies
Ability to communicate issues and recommend solutions in a timely manner.
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.