Experienced Full Stack Data Entry Specialist – Web & Cloud Application Development
At careerzynith, we're on a mission to revolutionize the way we interact with data. As a leading entertainment and media conglomerate, we're constantly pushing the boundaries of innovation and creativity. We're now seeking an experienced Full Stack Data Entry Specialist to join our team and help us drive success in our web and cloud application development endeavors.
**About careerzynith**
careerzynith is one of the world's largest and most beloved entertainment conglomerates, with a rich history dating back to 1923. Our company has grown to encompass a vast array of businesses and brands across the entertainment, media, and amusement park industries. From iconic films and TV shows to world-renowned theme parks and resorts, careerzynith is a household name that brings joy and wonder to people of all ages.
**Our Team**
Our team is a dynamic and collaborative group of innovators, creatives, and problem-solvers who are passionate about using data to drive business decisions. We're a diverse and inclusive team that values diversity, equity, and inclusion, and we're committed to creating a positive and supportive work environment that fosters growth and development.
**Job Summary**
As a Full Stack Data Entry Specialist, you will play a critical role in supporting our streaming business with AI and statistical modeling focused on understanding and predicting user behavior. You will work closely with our data science team to develop and implement innovative AI strategies to address key business questions and identify new areas for exploration. You will also collaborate with colleagues across the organization to identify and capitalize on opportunities, and present your findings to senior leaders.
**Key Responsibilities**
* Support the streaming business with AI and statistical modeling focused on understanding and predicting user behavior, such as churn, upgrade/downgrade, cost responsiveness, customer segmentation, survival analysis, A/B testing, and causal inference.
* Develop and implement innovative AI strategies to address key business questions and identify new areas for exploration.
* Drive experimentation to assess the effects of your models and identify areas for improvement.
* Collaborate with colleagues across the organization to identify and capitalize on opportunities, and present your findings to senior leaders.
* Work closely with the data science team to develop and implement data-driven solutions that drive business outcomes.
* Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to drive innovation and improvement in our data-driven solutions.
**Essential Qualifications**
* Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Econometrics, or a related field.
* 3+ years of experience in planning, building, and evaluating effective AI solutions.
* Strong coding experience in one or more programming languages, such as Python/R, with additional experience in scientific libraries like NumPy, Pandas, or similar libraries.
* Ability to analyze data and develop machine learning models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.).
* Strong foundation in statistical modeling: regression, clustering, time series estimation, causal inference, and other methods.
* Experience in developing flexible numerical models and solving complex quantitative problems that can be understood by non-technical stakeholders.
* Ability to make insights and recommendations from data to inform model development and business decisions.
* Willingness to collaborate with other data researchers, data analysts, and key stakeholders.
* Strong understanding of SQL.
**Preferred Qualifications**
* Postgraduate education in a quantitative field.
* Excellent analytical skills, with a high level of statistical knowledge.
* Demonstrated ability to choose the right statistical tools given an analysis problem.
* Ability to adapt quickly in a fast-paced environment with changing needs.
* Strong relational skills, both technical and non-technical.
* Ability to focus on multiple projects simultaneously and meet deadlines.
* Experience with data platforms and applications like Databricks, Jupyter, Snowflake, Wind current, GitHub.
* Experience with planning and analyzing A/B testing and other experimentation types.
* Experience thinking critically to interpret market and customer data, ideally about a subscription service.
* Experience with distributed data technologies (Hive, Spark).
* Experience with NLP and NN models.
**About Working at careerzynith**
Working at careerzynith can offer you a range of benefits and advantages, which may include:
* Employee discounts: careerzynith employees often receive discounts on stock, amusement park tickets, and other Disney-related products and services.
* Health and wellness benefits: careerzynith typically offers comprehensive health and wellness benefits, including medical, dental, and vision coverage, as well as health programs and resources.
* 401(k) retirement plans: Many employees have access to 401(k) plans with employer matching contributions to help them save for retirement.
* Paid time off: careerzynith commonly provides paid time off, including vacation days, holidays, and sick leave.
* Education assistance: Some employees may have access to education assistance programs to help with professional development and career advancement.
* Employee assistance programs: careerzynith may offer employee assistance programs to provide counseling and support services for personal and professional challenges.
* Career advancement: careerzynith frequently provides opportunities for career advancement and progression within the company.
* Employee recognition: careerzynith recognizes and rewards employee contributions through various recognition programs.
* Unique work environment: Depending on the role, careerzynith employees may have the opportunity to work in unique and exciting settings, such as theme parks or studios.
* Innovative and collaborative culture: careerzynith fosters an innovative and collaborative work culture, empowering employees to contribute their ideas and talents to the company's projects and initiatives.
**How to Apply**
If you're a motivated and detail-oriented individual with a passion for data-driven solutions, we encourage you to apply for this exciting opportunity. Please submit your application today, and let's work together to drive success in our web and cloud application development endeavors.
Apply To This Job
Apply for this job
**About careerzynith**
careerzynith is one of the world's largest and most beloved entertainment conglomerates, with a rich history dating back to 1923. Our company has grown to encompass a vast array of businesses and brands across the entertainment, media, and amusement park industries. From iconic films and TV shows to world-renowned theme parks and resorts, careerzynith is a household name that brings joy and wonder to people of all ages.
**Our Team**
Our team is a dynamic and collaborative group of innovators, creatives, and problem-solvers who are passionate about using data to drive business decisions. We're a diverse and inclusive team that values diversity, equity, and inclusion, and we're committed to creating a positive and supportive work environment that fosters growth and development.
**Job Summary**
As a Full Stack Data Entry Specialist, you will play a critical role in supporting our streaming business with AI and statistical modeling focused on understanding and predicting user behavior. You will work closely with our data science team to develop and implement innovative AI strategies to address key business questions and identify new areas for exploration. You will also collaborate with colleagues across the organization to identify and capitalize on opportunities, and present your findings to senior leaders.
**Key Responsibilities**
* Support the streaming business with AI and statistical modeling focused on understanding and predicting user behavior, such as churn, upgrade/downgrade, cost responsiveness, customer segmentation, survival analysis, A/B testing, and causal inference.
* Develop and implement innovative AI strategies to address key business questions and identify new areas for exploration.
* Drive experimentation to assess the effects of your models and identify areas for improvement.
* Collaborate with colleagues across the organization to identify and capitalize on opportunities, and present your findings to senior leaders.
* Work closely with the data science team to develop and implement data-driven solutions that drive business outcomes.
* Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to drive innovation and improvement in our data-driven solutions.
**Essential Qualifications**
* Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Econometrics, or a related field.
* 3+ years of experience in planning, building, and evaluating effective AI solutions.
* Strong coding experience in one or more programming languages, such as Python/R, with additional experience in scientific libraries like NumPy, Pandas, or similar libraries.
* Ability to analyze data and develop machine learning models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.).
* Strong foundation in statistical modeling: regression, clustering, time series estimation, causal inference, and other methods.
* Experience in developing flexible numerical models and solving complex quantitative problems that can be understood by non-technical stakeholders.
* Ability to make insights and recommendations from data to inform model development and business decisions.
* Willingness to collaborate with other data researchers, data analysts, and key stakeholders.
* Strong understanding of SQL.
**Preferred Qualifications**
* Postgraduate education in a quantitative field.
* Excellent analytical skills, with a high level of statistical knowledge.
* Demonstrated ability to choose the right statistical tools given an analysis problem.
* Ability to adapt quickly in a fast-paced environment with changing needs.
* Strong relational skills, both technical and non-technical.
* Ability to focus on multiple projects simultaneously and meet deadlines.
* Experience with data platforms and applications like Databricks, Jupyter, Snowflake, Wind current, GitHub.
* Experience with planning and analyzing A/B testing and other experimentation types.
* Experience thinking critically to interpret market and customer data, ideally about a subscription service.
* Experience with distributed data technologies (Hive, Spark).
* Experience with NLP and NN models.
**About Working at careerzynith**
Working at careerzynith can offer you a range of benefits and advantages, which may include:
* Employee discounts: careerzynith employees often receive discounts on stock, amusement park tickets, and other Disney-related products and services.
* Health and wellness benefits: careerzynith typically offers comprehensive health and wellness benefits, including medical, dental, and vision coverage, as well as health programs and resources.
* 401(k) retirement plans: Many employees have access to 401(k) plans with employer matching contributions to help them save for retirement.
* Paid time off: careerzynith commonly provides paid time off, including vacation days, holidays, and sick leave.
* Education assistance: Some employees may have access to education assistance programs to help with professional development and career advancement.
* Employee assistance programs: careerzynith may offer employee assistance programs to provide counseling and support services for personal and professional challenges.
* Career advancement: careerzynith frequently provides opportunities for career advancement and progression within the company.
* Employee recognition: careerzynith recognizes and rewards employee contributions through various recognition programs.
* Unique work environment: Depending on the role, careerzynith employees may have the opportunity to work in unique and exciting settings, such as theme parks or studios.
* Innovative and collaborative culture: careerzynith fosters an innovative and collaborative work culture, empowering employees to contribute their ideas and talents to the company's projects and initiatives.
**How to Apply**
If you're a motivated and detail-oriented individual with a passion for data-driven solutions, we encourage you to apply for this exciting opportunity. Please submit your application today, and let's work together to drive success in our web and cloud application development endeavors.
Apply To This Job
Apply for this job