Experienced Part-Time Remote Data Entry Specialist – Omnichannel Delivery Chain Strategy
At careerzynith, we're revolutionizing the retail industry with innovative solutions that make a significant impact on millions of people. As a part of our esteemed team, you'll have the opportunity to work on cutting-edge projects that transform the way we deliver products and services. We're seeking a highly skilled and motivated Data Entry Specialist to join our CENTROID org, where you'll play a crucial role in shaping the destiny of our omnichannel delivery chain strategy.
**About careerzynith**
careerzynith is a global retail leader that's constantly pushing the boundaries of innovation. Our CENTROID org is a team of industry-leading experts, consultants, and technologists who integrate strategic thinking with data science and analytics to solve the world's most complex delivery chain challenges. Our mission is to create a delivery chain that leverages our unique strengths to offer a vast product assortment, provide the lowest costs, and build modern capabilities through transformative initiatives.
**The CENTROID Data Science Team**
Our Data Science team develops intelligent solutions to make data-driven decisions in Network transformation at careerzynith. We tackle complex problems, including Ambient and Perishable inbound network design, center mile network flow optimization, last mile transportation and returns design, stock placement and targets, and transportation and monetization strategies. Our work involves applying diverse strategies from operations research to classical machine learning, deep learning, reinforcement learning, causal inference, and statistics. We're a team that's passionate about innovation and has published our work in top-tier conferences and journals. You'll be part of a crew that won the prestigious INFORMS Franz Edelman award in 2023.
**Key Responsibilities**
As a Data Entry Specialist, you'll be responsible for:
* Entering data accurately and efficiently into our systems
* Maintaining data quality and integrity
* Identifying and resolving data discrepancies
* Collaborating with cross-functional teams to ensure data consistency
* Providing data insights and recommendations to inform business decisions
* Staying up-to-date with industry trends and best practices in data entry and management
**Essential Qualifications**
* Ph.D./M.S. in a quantitative field, including Operations Research, Mathematics, Computer Science, and Statistics, with up to ten years of relevant work experience
* Ability to leverage your thesis in Operations Research or Statistics or an equivalent quantitative area related to mathematical programming strategies, stochastic programming, or associated implemented disciples that heavily used operations research modeling
* Experience with one or more optimization toolkits/libraries, such as CPlex, Gurobi, XPressMP, or open-source solvers
* Strong software development skills in languages, including Python, and familiarity with machine learning libraries, such as Scikit, TensorFlow, PyTorch, and Keras. Data querying ability using SQL
* Ability to communicate complex technical concepts to both technical and non-technical audiences
* Ability to collaborate with senior leaders and stakeholders
**Preferred Qualifications**
* Established potential as a complete stack data scientist who develops, optimizes, and scales models for the manufacturing environment
* Established potential with optimization modeling strategies (Linear Programming, Mixed Integer Programming, Non-Linear Programming) and advanced statistical modeling strategies (e.g., SVM, Random Forest, Bayesian inference, Graph models, NLP, Computer Vision, Neural Networks, etc.)
* Experience with solving complex stock/operations planning problems. Experience solving stochastic discrete optimization problems using a lot of heuristics, integer programming models, and/or simulation-based approaches
* Experience with Cloud technology, including GCP, Azure, and Spark, Hive, and TensorFlow, etc.
* Strong publication record in peer-reviewed journals and conferences
**Pay and Benefits**
* Pay: $65 - $100 per hour
* Benefits: Beyond our competitive pay package, you'll receive incentive awards for your performance. Other wonderful perks include 401(k) match, stock buy plan, paid maternity and parental leave, paid time off, multiple health plans, health insurance, dental insurance, and more.
**About careerzynith Global Tech**
Imagine working in an environment where one line of code can make life easier for millions of people. That's what we do at careerzynith Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service experts who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and that energy our innovations. We're people-led and tech-empowered. We teach our team the skillsets of the future and develop experts like you to help us grow. We have roles for those chasing their first opportunity and those seeking the opportunity to define their career. Here, you'll kickstart an excellent career in tech, benefit from new skills and experience for every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.
**Don't Hesitate, Apply!**
Don't worry if you don't meet every single requirement. We value a great attitude and a willingness to learn above all. Submit your application today and join our team of innovators who are shaping the future of retail!
Apply for this job
**About careerzynith**
careerzynith is a global retail leader that's constantly pushing the boundaries of innovation. Our CENTROID org is a team of industry-leading experts, consultants, and technologists who integrate strategic thinking with data science and analytics to solve the world's most complex delivery chain challenges. Our mission is to create a delivery chain that leverages our unique strengths to offer a vast product assortment, provide the lowest costs, and build modern capabilities through transformative initiatives.
**The CENTROID Data Science Team**
Our Data Science team develops intelligent solutions to make data-driven decisions in Network transformation at careerzynith. We tackle complex problems, including Ambient and Perishable inbound network design, center mile network flow optimization, last mile transportation and returns design, stock placement and targets, and transportation and monetization strategies. Our work involves applying diverse strategies from operations research to classical machine learning, deep learning, reinforcement learning, causal inference, and statistics. We're a team that's passionate about innovation and has published our work in top-tier conferences and journals. You'll be part of a crew that won the prestigious INFORMS Franz Edelman award in 2023.
**Key Responsibilities**
As a Data Entry Specialist, you'll be responsible for:
* Entering data accurately and efficiently into our systems
* Maintaining data quality and integrity
* Identifying and resolving data discrepancies
* Collaborating with cross-functional teams to ensure data consistency
* Providing data insights and recommendations to inform business decisions
* Staying up-to-date with industry trends and best practices in data entry and management
**Essential Qualifications**
* Ph.D./M.S. in a quantitative field, including Operations Research, Mathematics, Computer Science, and Statistics, with up to ten years of relevant work experience
* Ability to leverage your thesis in Operations Research or Statistics or an equivalent quantitative area related to mathematical programming strategies, stochastic programming, or associated implemented disciples that heavily used operations research modeling
* Experience with one or more optimization toolkits/libraries, such as CPlex, Gurobi, XPressMP, or open-source solvers
* Strong software development skills in languages, including Python, and familiarity with machine learning libraries, such as Scikit, TensorFlow, PyTorch, and Keras. Data querying ability using SQL
* Ability to communicate complex technical concepts to both technical and non-technical audiences
* Ability to collaborate with senior leaders and stakeholders
**Preferred Qualifications**
* Established potential as a complete stack data scientist who develops, optimizes, and scales models for the manufacturing environment
* Established potential with optimization modeling strategies (Linear Programming, Mixed Integer Programming, Non-Linear Programming) and advanced statistical modeling strategies (e.g., SVM, Random Forest, Bayesian inference, Graph models, NLP, Computer Vision, Neural Networks, etc.)
* Experience with solving complex stock/operations planning problems. Experience solving stochastic discrete optimization problems using a lot of heuristics, integer programming models, and/or simulation-based approaches
* Experience with Cloud technology, including GCP, Azure, and Spark, Hive, and TensorFlow, etc.
* Strong publication record in peer-reviewed journals and conferences
**Pay and Benefits**
* Pay: $65 - $100 per hour
* Benefits: Beyond our competitive pay package, you'll receive incentive awards for your performance. Other wonderful perks include 401(k) match, stock buy plan, paid maternity and parental leave, paid time off, multiple health plans, health insurance, dental insurance, and more.
**About careerzynith Global Tech**
Imagine working in an environment where one line of code can make life easier for millions of people. That's what we do at careerzynith Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service experts who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and that energy our innovations. We're people-led and tech-empowered. We teach our team the skillsets of the future and develop experts like you to help us grow. We have roles for those chasing their first opportunity and those seeking the opportunity to define their career. Here, you'll kickstart an excellent career in tech, benefit from new skills and experience for every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.
**Don't Hesitate, Apply!**
Don't worry if you don't meet every single requirement. We value a great attitude and a willingness to learn above all. Submit your application today and join our team of innovators who are shaping the future of retail!
Apply for this job