Data Scientist
Indianapolis, IN · Remote
Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...
Data Scientist
Indianapolis, IN · Remote
Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...
This is a remote position. We do not offer visa sponsorship or assistance. Resumes and ... in Python and SQL, with hands-on experience using tools such as PyTorch, scikit-learn, pandas ...
This is a remote position. We do not offer visa sponsorship or assistance. Resumes and ... in Python and SQL, with hands-on experience using tools such as PyTorch, scikit-learn, pandas ...
Python Pandas Remote information
What are the key skills and qualifications needed to thrive as a Python Pandas Remote Data Analyst, and why are they important?
To excel as a remote Python Pandas Data Analyst, you need strong proficiency in Python programming, advanced data manipulation skills with Pandas, and a solid understanding of statistics or data science principles, often backed by a relevant degree. Familiarity with tools like Jupyter Notebook, Git, SQL databases, and cloud data platforms is typically expected, along with certifications in data analysis or Python programming being advantageous. Excellent problem-solving, communication, and self-management skills help remote analysts collaborate effectively and deliver insights independently. These skills are vital for extracting and communicating actionable data insights while maintaining productivity and reliability in a remote work environment.
What are some common challenges faced by remote Python Pandas developers and how can they be addressed?
Remote Python Pandas developers often encounter challenges such as collaborating effectively with distributed teams, managing large datasets with limited local resources, and ensuring version control of data and code. To address these, it's helpful to establish clear communication channels (like Slack or Teams), utilize cloud-based data storage and computing platforms, and adopt collaborative tools like Git for code management. Regular virtual check-ins and thorough documentation also help maintain alignment and productivity in a remote setting.
What are Python Pandas Remote jobs?
Python Pandas Remote jobs are positions that require expertise in the Pandas library, a powerful data analysis tool in Python, and allow employees to work from any location outside of a traditional office environment. These jobs often involve data cleaning, manipulation, and analysis tasks, with responsibilities ranging from building data pipelines to generating insights from large datasets. Remote Pandas roles are common in industries like finance, healthcare, technology, and research, where data-driven decisions are essential. They typically require strong programming skills, problem-solving ability, and experience with distributed team collaboration tools.
What is the difference between Python Pandas Remote vs Data Analyst?
| Aspect | Python Pandas Remote | Data Analyst |
|---|---|---|
| Required Skills | Python, Pandas, SQL, data manipulation | Excel, SQL, data visualization, basic programming |
| Work Environment | Remote, tech-focused companies | Office or remote, various industries |
| Certifications | Python certifications, data analysis courses | Data analysis, Excel, Tableau certifications |
| Industry Usage | Tech, finance, e-commerce | Finance, marketing, healthcare |
Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.
What are popular job titles related to Python Pandas Remote jobs in Indiana? For Python Pandas Remote jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Python Pandas Remote jobs in Indiana look for? The top searched job categories for Python Pandas Remote jobs in Indiana are:
What cities in Indiana are hiring for Python Pandas Remote jobs? Cities in Indiana with the most Python Pandas Remote job openings:
Other
Posted 19 days ago
Job description
Position Summary
Our ideal candidate will spend most of the time developing machine learning models using natural language process that will be integrated into our automated processes. This role is ideal for an engineer eager to grow and contribute to scalable, reliable services in a mission-driven environment. You will work alongside experienced engineers who deliver production grade models into our SaaS platform in a highly regulated environment. Your responsibility will be to build and train models, deploy model pipelines, and implement a variety of algorithms to extract insights from unstructured data. If needed, you will also troubleshoot and provide technical solutions to resolve issues. Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too.
As a Data Scientist at Authenticx, your responsibilities will include:
- Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics.
- Analyzing structured and unstructured data and building predictive models using a variety of approaches.
- Searching through large data sets and transforming data for analysis
- Creating reports and presentations to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
- Document and maintain codebase standards, contributing to ongoing quality and reliability improvements.
Key Metrics
- Delivery of assigned feature work on time and within quality standards.
- Consistent adherence to code review and documentation standards.
- Resolution of assigned defects and production issues within established SLAs.
- Contribution to overall system reliability, uptime, and performance goals.
- Demonstrated growth in technical proficiency and cross-team collaboration.
Qualifications
The ideal Data Scientists possesses the following skills & qualifications:
Basic Qualifications:
- S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field
- 2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI.
- Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing
- Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)
- Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)
- Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)
- Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)
- Experience with SQL, databases, and other data management tools
- Ability to work independently and with team members from different backgrounds
- Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
- Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns
Preferred Qualifications:
- Software-as-a-service (SaaS) and/or healthcare industry experience
- Familiarity with Cloud Technologies, Docker, and Kubernetes.
- Experience with tools for experiment tracking and model management.
- Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.
- Experience with Agentic models and workflows is a plus.
Work Environment
- This is a remote/virtual position.
- You must live in the United States of America.
- You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.
- Occasional travel to Indianapolis may be required (approximately 2-4 times per year) based on business needs.