About careerzynith
At careerzynith, we're revolutionizing the way we think about delivery chains. Our team of industry-leading experts, consultants, and technologists are working together to solve the world's most complex delivery chain challenges at scale. Our mission is to create a delivery chain that leverages careerzynith's unique strengths to offer a vast product assortment, provide the lowest costs, and build modern capabilities through transformative initiatives.
Join Our Team
We're looking for a highly skilled and motivated Full Stack Data Entry Specialist to join our team. As a Full Stack Data Entry Specialist, you will play a critical role in supporting our data science team in developing smart solutions to make significant and visible impact decisions in network transformation at careerzynith. You will work closely with our team to solve complex problems, including ambient and perishable inbound network layout, center mile network flow optimization, last mile transportation and returns layout, stock placement and targets, and transportation and monetization strategies.
Key Responsibilities
As a Full Stack Data Entry Specialist, your key responsibilities will include:
- Supporting our data science team in developing smart solutions to make significant and visible impact decisions in network transformation at careerzynith
- Working closely with our team to solve complex problems, including ambient and perishable inbound network layout, center mile network flow optimization, last mile transportation and returns layout, stock placement and targets, and transportation and monetization strategies
- Developing and optimizing models for the manufacturing environment
- Collaborating with our team to identify and prioritize projects, and to develop and implement solutions
- Providing data analysis and insights to support business decisions
- Developing and maintaining databases and data systems to support our data science team
- Ensuring data quality and integrity, and identifying and resolving data-related issues
Essential Qualifications
To be successful in this role, you will need:
- A 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
- 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, including Scikit, TensorFlow, PyTorch, and Keras
- Ability to communicate complex technical concepts to both technical and non-technical audiences
- Ability to collaborate with cross-functional teams, including data science, engineering, and business stakeholders
Preferred Qualifications
While not required, the following qualifications would be highly desirable:
- Established potential as a complete stack data scientist who develops, optimizes, and scales models for the manufacturing environment
- Experience with solving tough stock/operations planning problems, including stochastic discrete optimization problems using a variety of heuristics, integer programming models, and/or simulation-based approaches
- Experience with cloud technology, including GCP, Azure, and Spark, Hive, and TensorFlow
- A strong publication record in top-tier conferences and journals
Skills and Competencies
To be successful in this role, you will need to possess the following skills and competencies:
- Strong analytical and problem-solving skills, with the ability to think critically and creatively
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Strong technical skills, including proficiency in programming languages, such as Python, and experience with machine learning libraries, such as Scikit, TensorFlow, PyTorch, and Keras
- Ability to learn and adapt quickly, with a strong desire to continuously improve and develop new skills
- Strong attention to detail, with the ability to ensure data quality and integrity
Career Growth Opportunities and Learning Benefits
At careerzynith, we offer a range of career growth opportunities and learning benefits, including:
- Opportunities to work on high-impact projects, with the potential to make a significant and visible impact on the business
- Access to training and development programs, including workshops, conferences, and online courses
- Opportunities to collaborate with cross-functional teams, including data science, engineering, and business stakeholders
- A supportive and inclusive work environment, with a strong focus on diversity, equity, and inclusion
- A competitive salary and benefits package, including health insurance, dental insurance, and a 401(k) match
Work Environment and Company Culture
At careerzynith, we pride ourselves on our collaborative and inclusive work environment. Our team is made up of talented and motivated individuals who are passionate about solving complex problems and making a meaningful impact on the business. We offer a range of benefits and perks, including:
- A flexible and remote work environment, with the option to work from home or in our office
- A comprehensive benefits package, including health insurance, dental insurance, and a 401(k) match
- A range of employee recognition and reward programs, including bonuses and stock options
- A commitment to diversity, equity, and inclusion, with a strong focus on creating a welcoming and inclusive work environment
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
- A salary range of $65-$100 per hour
- A comprehensive benefits package, including health insurance, dental insurance, and a 401(k) match
- A range of employee recognition and reward programs, including bonuses and stock options
- A commitment to diversity, equity, and inclusion, with a strong focus on creating a welcoming and inclusive work environment
Conclusion
If you're a motivated and talented individual who is passionate about solving complex problems and making a meaningful impact on the business, we want to hear from you. Apply now to join our team and be a part of something amazing!