Are you a Backend Developer with a knack for data science and a passion for digging deep into data to uncover insights? If so, we’re looking for someone just like you to join our team.

In this role, you’ll be the bridge between backend development and data science, utilizing your Python skills to build robust systems and your expertise in statistics and A/B testing methodologies to derive actionable insights.

Responsibilities:

Architect, develop, and maintain scalable backend systems using Python, ensuring reliability and performance.
Collaborate closely with data scientists and analysts to understand business requirements and translate them into technical solutions.
Apply statistical techniques and A/B testing methodologies to analyze data, draw meaningful conclusions, and make data-driven recommendations.
Develop and deploy machine learning models for predictive analytics and optimization.
Design and implement data pipelines for ETL (Extract, Transform, Load) processes, ensuring data integrity and efficiency.
Optimize backend systems for speed, scalability, and cost-effectiveness, leveraging your data science skills to identify opportunities for improvement.

Requirements:

Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field.
Strong proficiency in Python programming language, with a focus on backend development.
Experience with SciPy Library – https://scipy.org/.
Solid understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, and experimental design.
Experience with A/B testing frameworks and methodologies, including sample size calculation, statistical significance testing, and interpretation of results.
Familiarity with data visualization techniques and tools for exploratory data analysis.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Preferred Qualifications:

Previous experience in developing and deploying machine learning models in production environments.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

If you’re passionate about leveraging your backend development skills to drive insights and innovation through data science, we want to hear from you!

Apply now with your resume and a cover letter highlighting your relevant experience and expertise in statistics and A/B testing methodologies.
Let’s work together to unlock the full potential of our data-driven initiatives.

Hourly Range: $25.00-$50.00

Posted On: March 21, 2024 19:11 UTC
Category: Back-End Development
Skills:Apache Kafka, Data Science, Python, API, Python Script, A/B Testing, A/B Testing Software, ETL Pipeline, Machine Learning Model, Apache Hadoop

Country: United States

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