Data Scientist

The Data Scientist role at Aisimp is crucial for driving our data-driven marketing strategies. This position demands a high level of proficiency in data analytics, data enrichment, and data preparation, with a strong emphasis on Python programming. The ideal candidate will be adept at analyzing vast amounts of data, enriching and cleaning data using advanced tools or custom scripts, and proficient in JSON and JSONL formats. Familiarity with BigQuery, experience in developing scraping applications, and the ability to integrate data insights with business objectives are essential.

Responsibilities:

Conduct in-depth analysis of large datasets to extract actionable insights that align with our marketing goals.
Enrich, clean, and prepare data using Python, ensuring data is accurate and analysis-ready.
Develop custom Python scripts and applications for data scraping, analysis, and automation.
Work efficiently with JSON and JSONL formats for data manipulation and storage.
Leverage BigQuery and other data analytics tools for sophisticated data queries and analysis.
Collaborate with marketing and analytics teams to integrate data-driven insights into strategic planning.
Continuously update skills and knowledge in data science, Python programming, and relevant technologies.

Requirements:

Strong proficiency in Python for data analysis, including familiarity with libraries such as Pandas, NumPy, and Scikit-learn.
Proven track record in data analysis, with a portfolio demonstrating expertise in handling and interpreting large datasets.
Experience with JSON and JSONL formats, and proficient in data manipulation and storage techniques.
Proficiency in BigQuery and familiarity with data scraping and automation tools.
Excellent analytical, problem-solving, and communication skills.
Ability to work effectively in a team, demonstrating a collaborative and results-driven approach.

What We Offer:

Flexible working hours with remote work options.
A dynamic and supportive work environment with opportunities for professional growth.
Competitive salary with performance-based increases and bonuses.

Application Process:

Share your favorite Python project that demonstrates your skills in data analysis or automation, and explain why you’re excited about the opportunity at Aisimp.

Specify your desired start date, salary expectations, and availability (including time zone).

Include a link to your resume and portfolio showcasing your Python projects, data analysis expertise, and any other relevant work.

Email your application to Click to view with the subject line “Data Scientist Application – Python Expert”.