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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 while making a significant impact in the field.
- Qualifications: Bachelor’s/Master’s in Engineering or Computer Science with 4+ years of relevant experience required.
- Other info: Work remotely with flexible hours, collaborating with US companies on cutting-edge projects.
This range is provided by YO IT Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$15.00/hr – $24.00/hr
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.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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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
Familiarise yourself with the latest trends in AI and data science. Being knowledgeable about current advancements will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the data science community online. Join forums, attend webinars, or participate in hackathons. Networking can lead to valuable connections and insights that may help you land the job.
✨Tip Number 3
Prepare to discuss your previous projects in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them, especially in relation to Python programming and data analysis.
✨Tip Number 4
Practice your communication skills. Since the role requires clear communication with researchers, consider doing mock interviews or presentations to refine how you convey complex ideas simply and effectively.
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 in data science and Python programming. Emphasise your analytical skills and any projects that showcase your ability to develop innovative AI solutions.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for AI technology. Mention specific experiences where you've made an impact in previous roles, particularly in data analysis and problem-solving.
Showcase Your Projects: If you have worked on any significant projects or have a portfolio of your work, include this in your application. Highlight how your contributions led to successful outcomes, especially in the context of AI advancements.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, particularly your experience with Python and data analysis. Think about examples from your past work that demonstrate your problem-solving abilities and how you communicate complex ideas effectively.
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. Bring examples of projects where you've used Python to solve complex problems, and be ready to explain your thought process and the logic behind your code.
✨Demonstrate Data Analysis Expertise
Highlight your data analysis experience by discussing specific datasets you've worked with. Be ready to explain how you derived insights from data and how those insights impacted business decisions.
✨Communicate Clearly
Since communication is key in this role, practice explaining technical concepts in simple terms. Be prepared to discuss how you would communicate findings to non-technical stakeholders and researchers.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Brush up on your analytical skills and be ready to walk through your approach to tackling a data-related challenge, including how you would document your process.
