Proficiency with a scripting language such as R or Python * Experience with data science techniques ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
Proficiency with a scripting language such as R or Python * Experience with data science techniques ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
Entry Level Python information
See Towson, MD salary details
$12.67 - $19.03
1% of jobs
$19.03 - $25.39
0% of jobs
$25.39 - $31.76
2% of jobs
$31.76 - $38.12
5% of jobs
$38.12 - $44.49
11% of jobs
$46.36 is the 25th percentile. Wages below this are outliers.
$44.49 - $50.85
18% of jobs
The median wage is $54.17 / hr.
$50.85 - $57.22
24% of jobs
$62.08 is the 75th percentile. Wages above this are outliers.
$57.22 - $63.58
18% of jobs
$63.58 - $69.94
13% of jobs
$69.94 - $76.31
5% of jobs
$76.31 - $82.67
3% of jobs
$12
$56
$82
How much do entry level python jobs pay per hour?
What Are Entry Level Python Jobs?
Entry-Level Python positions can be found in multiple industries because Python is a general-purpose language. The company you work for may shape your development, but your general responsibilities include programming software, writing code, and building web applications. Your duties have you working hands-on with Python to analyze, identify, and develop sourced data. You program efficient approaches to process data and test and troubleshoot systems. In an entry level Python position, you work under higher level programmers and assist with improvements while gaining valuable experience to enhance your skills.
What are the key skills and qualifications needed to thrive as an Entry Level Python Developer, and why are they important?
What are some common challenges faced by entry level Python developers in their first role?
What does an Entry Level Python developer do?
What is the difference between Entry Level Python vs Data Analyst?
| Aspect | Entry Level Python | Data Analyst |
|---|---|---|
| Required Skills | Basic Python programming, problem-solving | Data visualization, SQL, Excel, some Python |
| Certifications | Python for Beginners, Entry-Level Programming | Google Data Analytics, Microsoft Excel Certification |
| Work Environment | Tech companies, startups, software teams | Business, finance, marketing departments |
| Industry Usage | Software development, automation, scripting | Data analysis, reporting, decision-making |
Entry Level Python roles focus on basic programming skills and scripting, often within tech environments. Data Analysts combine Python with data visualization and SQL skills to interpret data for business insights. While both roles require some programming knowledge, Data Analysts typically have broader skills in data handling and reporting, making them more versatile in data-driven industries.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 7 days ago
Job description
Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.A day in the life:
- Employ a variety of languages and tools (e.g., scripting languages) to integrate systems.
- Conduct research and leverage large volumes of data from multiple sources to answer mission and business questions.
- Employ sophisticated analytics, programs, machine learning, and statistical methods to prepare data for use in analytical processes and prescriptive modeling.
- Explore and examine data for hidden patterns.
- Automate work through the use of predictive and prescriptive analytics.
- Develop processes to extract/transform/load (ETL) data between different systems.
What you bring to the table:
All of our data scientists need the following skills:
- Proficiency with a scripting language such as R or Python
- Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
- A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
- For entry-level data scientists, 0-3 years of experience on Data Science projects.
- For mid-level data scientists, 3-6 years of experience on Data Science projects.
- For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
- A TS/SCI with Polygraph security clearance.
For this particular role, you will also need:
- Experience in identifying, developing, and deploying new approaches to automate data collection, consolidation, and analysis
- Proven ability to develop and deploy software and scripts needed to collect business-relevant metrics based on enterprise data
These are important skills to have, but not necessarily mandatory:
- Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
- Experience with Java, C, or other compiled languages
- Comprehensive knowledge of Saturday Night Live sketches (just kidding)
- Experience with SQL/NoSQL, Spark, Hadoop
- Familiarity with Javascript and Scripting
- Familiarity with Docker, GitLab, and React
- Familiarity with Agile processes and structures, and able to work on a software development team
The total package:
- Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience,actual level of expertise, and the responsibilities of the role itself.
- Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are:
- Entry-level: $95,000 - $135,000
- Mid-level: $110,000 - $155,000
- Senior-level: $135,000 - $235,000
- Retire soonerthan planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
- Have a career AND a life:Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
- Stay at your best:As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
- Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
- Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
- Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!