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Associate Data Science Analyst Jobs in Ohio (NOW HIRING)

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

Identify potential applications fro data science techniques * Assist management in setting ... Analyze data using data science and/or statistical methods * Collaborate with subject matter ...

Identify potential applications fro data science techniques * Assist management in setting ... Analyze data using data science and/or statistical methods * Collaborate with subject matter ...

... the Data Science and Analytics team tasked with providing technical leadership for the ... The associate is frequently required to use hands to touch, handle, and feel, and to reach with ...

... the Data Science and Analytics team tasked with providing technical leadership for the ... The associate is frequently required to use hands to touch, handle, and feel, and to reach with ...

... associates that reflects positively on the company and is consistent with the company's policies ... Detail-oriented with strong analytical and problem-solving skills * Ability to manage time ...

... associates that reflects positively on the company and is consistent with the company's policies ... Detail-oriented with strong analytical and problem-solving skills * Ability to manage time ...

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Associate Data Science Analyst information

What are the key skills and qualifications needed to thrive as an Associate Data Science Analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What are the most commonly searched types of Data Science Analyst jobs in Ohio? The most popular types of Data Science Analyst jobs in Ohio are:
What cities in Ohio are hiring for Associate Data Science Analyst jobs? Cities in Ohio with the most Associate Data Science Analyst job openings:
Data Science Consultant

Data Science Consultant

Deloitte

Columbus, OH • On-site

Full-time

Posted 27 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that empowers organizations to build deeper relationships with customers through innovative strategies and advanced analytics. The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth.
Responsibilities:
• Ability to understand business goals and translate them into Machine Learning use cases and model design
• Understanding and applying clustering/sampling techniques to design
• Grow your understanding of the multi-channel marketing optimization problem space
• Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes
• Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
• Being able to interpret the models that are being generated
• Developing proofs of concept to verify your ideas
• Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
• Working closely with clients throughout
Qualifications:
Required:
• A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
• At least 2+ years of industry experience outside of academia
• Ability to travel 30%, on average, based on the work you do and the client 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:
• A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
• Good problem decomposition skills and autonomy when faced with solving data problems
• Experience manipulating large marketing data sets and performing ETL
• Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
• Experience with large data sets generated in the Ad Tech or Marketing technology spaces
• Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
• Proficiency in high level scripting language, such as Python or R
• Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
• If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us
• Experience with Deep Learning architectures and/or Reinforcement Learning
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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