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Entry Level Python Data Science Jobs in Indianapolis, IN

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Biologist II

Indianapolis, IN · On-site

$26 - $28/hr

ImageJ, QuPath, HALO) is preferred but not required • Strong quantitative mindset and data science skills is a plus (e.g. R, Python). • Written and verbal communication skills including the ...

Environmental Scientist

Indianapolis, IN · On-site

$71K - $94K/yr

Your Opportunity Stantec is seeking an entry level Environmental Scientist with 0-3 years of ... Includes data management. * Compile, evaluate, analyze, and present/report investigation and ...

Environmental Scientist

Indianapolis, IN · On-site

$71K - $94K/yr

Your Opportunity Stantec is seeking an entry level Environmental Scientist with 0-3 years of ... Includes data management. * Compile, evaluate, analyze, and present/report investigation and ...

... scientists, digital innovators, program and construction managers and other professionals ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

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Entry Level Python Data Science information

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$56

$82

How much do entry level python data science jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for entry level python data science in Indianapolis, IN is $56.03, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.65 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Indianapolis, IN? The most popular types of Python Data Science jobs in Indianapolis, IN are:
What are popular job titles related to Entry Level Python Data Science jobs in Indianapolis, IN? For Entry Level Python Data Science jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Indianapolis, IN look for? The top searched job categories for Entry Level Python Data Science jobs in Indianapolis, IN are:
Infographic showing various Entry Level Python Data Science job openings in Indianapolis, IN as of June 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $116,551 per year, or $56 per hour.
Data Analytics Analyst/Manager (US Citizen Only)

Data Analytics Analyst/Manager (US Citizen Only)

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

101st of 188 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

You must hold a singular U.S. Citizenship and no dual-citizenship with any other countries:Must be a U.S. Citizen operating on U.S. Soil with ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan. Due to the citizenship requirement for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV

The Data Analytics Analyst/Manager for the Cloud Success Insights Team is a crucial role responsible for delivering data-driven actionable insights and strategic recommendations that empower Cloud Leaders to drive various programs within the Customer Success. This role will involve providing dedicated analytics support to a specific cloud team, and to do so, collaborating with different teams within CSG will be needed.
Should demonstrate versatility in tackling a diverse range of problem statements, encompassing in-depth analysis, strategic planning, forecasting, data visualization, and effective presentation, all while maintaining a proactive attitude towards embracing new challenges.
This is an individual contributor role, which has high visibility and delivers business impact. The role requires timely responses to questions raised by senior leaders. This sometimes requires a flexible working approach, working outside standard hours.
Must have

  • Degree or equivalent proven experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

  • A bachelors or Masters in Computer Science or related field with 8+ years (for Lead) experience, preferably in a data analytics team.

  • Data Preparation : Extensive experience in writing complex database queries in SQL.

  • Visualization : Expert in one or more popular viz tools (Tableau, Power BI etc)

  • Data Analysis and Interpretation : A curious mindset that enables to dive deep & fetch insights.

  • Storytelling : Excellent skill of preparing Exec level stories.

  • Presentation : Demonstrated experience of creating & presenting data/dashboards/analysis to the leadership team & ability to explain complex analytical concepts to executives.

  • Ability to quickly learn new tools within Analytics space.

  • An awesome team-player and someone who junior analysts can look up to.

  • Ownership : Assume responsibility for assigned projects from start to finish.

  • Stakeholder Management

Nice to have skills

  • Direct experience (2+ yrs) in data-engineering.

  • Tableau certification like desktop specialist/professional is a big plus.

  • Experience working with cloud data sources.

  • Hands-on experience in advanced analytics, including predictive modelling, machine learning using python/R.

  • Salesforce Product Certification

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $99,400 - $186,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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