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- Tasks: Join our team to develop innovative AI solutions using Python and data analysis.
- Company: YO IT Group is a forward-thinking company pushing the boundaries of AI technology.
- Benefits: Enjoy remote work flexibility and competitive pay ranging from $15.00/hr to $24.00/hr.
- Why this job: Be at the forefront of AI advancements and make a significant impact in the field.
- Qualifications: Must have a Bachelor's/Master's degree and 4+ years of relevant experience in data science.
- Other info: Work hours require 5 hours overlap with PST; contract duration is 6-12 months.
Python Data Scientist/Analyst
Experience: 4 – 20 Years
Location: Anywhere in the World – Permanent Remote
Contract Duration: 6-12 months
Work Hours: 5 hours overlap with PST time zone
Standard work hours are: 8 AM PST – 4 PM PST.
Must-Have
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- At least 4 years of relevant experience as a data scientist
- 3+ years of data analysis experience and a desire to have a significant impact on the field of artificial intelligence
- 4+ years of experience working with Python programming.
- Fluent in conversational and written English communication skills.
Job Description
We are actively seeking talented Data Scientists & Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions.
Job Responsibilities
- Write effective Python code to tackle complex issues, but also use your business sense and analytical abilities to glean valuable insights from public databases.
- Communicate clearly with researchers and help the organization in realizing its objectives.
- Clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums.
- Fix bugs in the code and create thorough documentation.
- Utilize extensive data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.).
- Effectively communicate with the researchers to comprehend the needs and provide the results.
Job Requirements
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- At least 4 years of relevant experience as a data scientist
- 3+ years of data analysis experience and a desire to have a significant impact on the field of artificial intelligence
- 4+ years of experience working with Python programming
- Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings.
- Excellent problem-solving and analytical skills.
- Excellent communication abilities to work with stakeholders and researchers successfully.
- Fluent in conversational and written English communication skills.
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Data Scientist - LLM employer: YO IT Group
Contact Detail:
YO IT Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - LLM
✨Tip Number 1
Make sure to showcase your Python programming skills in any discussions or interviews. Be prepared to discuss specific projects where you've used Python to solve complex problems, as this will demonstrate your hands-on experience.
✨Tip Number 2
Familiarize yourself with the latest trends and advancements in AI technology. Being able to discuss current developments in the field will show your passion and commitment to staying at the forefront of AI.
✨Tip Number 3
Practice explaining your data analysis process clearly and concisely. Since communication is key in this role, being able to articulate your reasoning and findings effectively will set you apart from other candidates.
✨Tip Number 4
Engage with online communities or forums related to data science and AI. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for job opportunities.
We think you need these skills to ace Data Scientist - LLM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience as a data scientist, especially your proficiency in Python and data analysis. Include specific projects or achievements that demonstrate your skills and impact in the field of AI.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI and your desire to contribute to innovative solutions. Mention how your background aligns with the job requirements and express your enthusiasm for working with US companies on cutting-edge projects.
Showcase Your Communication Skills: Since excellent communication is key for this role, ensure that your application materials are well-written and free of errors. Use clear and concise language to convey your ideas and experiences effectively.
Highlight Relevant Projects: Include examples of past projects where you utilized Python for data analysis or AI development. Discuss the challenges you faced, how you overcame them, and the results achieved to demonstrate your problem-solving abilities.
How to prepare for a job interview at YO IT Group
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you wrote effective code and solved complex problems, as this is crucial for the role.
✨Demonstrate Data Analysis Expertise
Prepare examples of how you've utilized data analysis to derive insights from datasets. Discuss your approach to analyzing data and how it has impacted business decisions.
✨Communicate Clearly
Since communication is key, practice explaining your thought process and coding logic clearly. Be ready to articulate your findings and how they align with the organization's objectives.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Brush up on your analytical skills and be ready to demonstrate how you would tackle real-world data challenges.
