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Entry Level Python Data Science Jobs in Indianapolis, IN

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Machine Learning Tutor

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Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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

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Entry Level Python Data Science information

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

As of Jul 11, 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:
Entry Level Python Data Science jobs near you
Associate Data Cloud Business Transformation Architect

Associate Data Cloud Business Transformation Architect

Deloitte

Indianapolis, IN • On-site

$62.25 - $79/hr

Other

Posted 29 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on July 11, 2026

Work you'll do

As an Associate Data Cloud Business Transformation Architect on the Marketing Technology & Operations team, you will be responsible for...

  • Leading implementations of Salesforce Data Cloud and Marketing Cloud, including technical requirements gathering, solution design, configuration, and activation
  • Partnering with client marketing, Information Technology, and data teams to define data models, identity resolution strategies, and activation use cases aligned to business goals
  • Designing and building data ingestion pipelines, segmentation logic, and audience activation workflows across channels within Salesforce Data Cloud
  • Developing technical solutions within Salesforce Marketing Cloud using structured query language, HyperText Markup Language, Cascading Style Sheets, JavaScript, and AMPscript
  • Troubleshooting and optimizing Data Cloud and Marketing Cloud integrations, while supporting client enablement and knowledge transfer following go-live

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 2+ years of hands-on experience with Salesforce Data Cloud, including data ingestion, data mapping, and identity resolution
  • 2+ years of hands-on experience with Salesforce Marketing Cloud or Salesforce Marketing Cloud ecosystem platforms, including Marketing Cloud Personalization, Marketing Cloud Account Engagement, or Marketing Cloud Intelligence
  • 2+ years of experience developing structured query language with a relational database management system such as MySQL, Oracle, or Microsoft SQL Server
  • Salesforce Marketing Cloud Email Specialist and Salesforce Data Cloud Consultant certifications
  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with data modeling, data integration, and data governance
  • Experience developing solutions with HyperText Markup Language, Extensible Markup Language, Cascading Style Sheets, and JavaScript
  • Salesforce Marketing Cloud Administrator or Salesforce Marketing Cloud Consultant certification
  • 2+ years of experience with Simple Object Access Protocol application programming interfaces, Representational State Transfer application programming interfaces, or integration techniques
  • Experience with object-oriented programming languages such as .NET, Java, Ruby, C#, C++, or Python
  • Experience with marketing technology or analytics tools such as Adobe, Oracle, Sprinklr, or Google platforms

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 - $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on July 11, 2026

Work you'll do

As an Associate Data Cloud Business Transformation Architect on the Marketing Technology & Operations team, you will be responsible for...

  • Leading implementations of Salesforce Data Cloud and Marketing Cloud, including technical requirements gathering, solution design, configuration, and activation
  • Partnering with client marketing, Information Technology, and data teams to define data models, identity resolution strategies, and activation use cases aligned to business goals
  • Designing and building data ingestion pipelines, segmentation logic, and audience activation workflows across channels within Salesforce Data Cloud
  • Developing technical solutions within Salesforce Marketing Cloud using structured query language, HyperText Markup Language, Cascading Style Sheets, JavaScript, and AMPscript
  • Troubleshooting and optimizing Data Cloud and Marketing Cloud integrations, while supporting client enablement and knowledge transfer following go-live

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 2+ years of hands-on experience with Salesforce Data Cloud, including data ingestion, data mapping, and identity resolution
  • 2+ years of hands-on experience with Salesforce Marketing Cloud or Salesforce Marketing Cloud ecosystem platforms, including Marketing Cloud Personalization, Marketing Cloud Account Engagement, or Marketing Cloud Intelligence
  • 2+ years of experience developing structured query language with a relational database management system such as MySQL, Oracle, or Microsoft SQL Server
  • Salesforce Marketing Cloud Email Specialist and Salesforce Data Cloud Consultant certifications
  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with data modeling, data integration, and data governance
  • Experience developing solutions with HyperText Markup Language, Extensible Markup Language, Cascading Style Sheets, and JavaScript
  • Salesforce Marketing Cloud Administrator or Salesforce Marketing Cloud Consultant certification
  • 2+ years of experience with Simple Object Access Protocol application programming interfaces, Representational State Transfer application programming interfaces, or integration techniques
  • Experience with object-oriented programming languages such as .NET, Java, Ruby, C#, C++, or Python
  • Experience with marketing technology or analytics tools such as Adobe, Oracle, Sprinklr, or Google platforms

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 - $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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