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Senior Python Data Analysis Jobs in Ohio (NOW HIRING)

Skills and Qualifications Strong analytical and problem-solving skills Proficiency in data analysis tools such as Python, R, SQL, and Excel Knowledge of statistical methods and data modeling ...

Senior Data Analytics Engineer

Columbus, OH

$102K - $139K/yr

Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting. * Utilize python, Snowflake, and SQL queries to build robust data ...

Performs advanced analytics methods to extract value from business data. Performs large-scale ... Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g., AWS ...

Performs advanced analytics methods to extract value from business data. * Performs large-scale ... Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ...

Urgent Need SR Data Analyst

Dayton, OH · On-site

$83K - $105K/yr

Data Analysis, Data Mapping, SQL, SQL Server, Healthcare Industry experience We are in search of an experienced Sr. Data Analyst with at least 5+ years of experience. An ideal candidate will have ...

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure ... Analysis, Design, Coding, Maintenance, and Implementation of applications. using C#.NET, Python, V ...

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

Analyze business and technical requirements and translate them into scalable, maintainable, and ... Consultant/Senior Consultant (or USDC/PDM/Specialist equivalent) Highly Desired Qualifications

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

Analyze business and technical requirements and translate them into scalable, maintainable, and ... Consultant/Senior Consultant (or USDC/PDM/Specialist equivalent) Highly Desired Qualifications

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Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Ohio? The most popular types of Python Data Analysis jobs in Ohio are:
What job categories do people searching Senior Python Data Analysis jobs in Ohio look for? The top searched job categories for Senior Python Data Analysis jobs in Ohio are:
What cities in Ohio are hiring for Senior Python Data Analysis jobs? Cities in Ohio with the most Senior Python Data Analysis job openings:
Senior Data scientist With AI

Senior Data scientist With AI

Diverse Lynx

Cincinnati, OH • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
Diverse Lynx is seeking a Senior Data Scientist with expertise in AI. The role involves developing advanced recommender systems and applying generative AI models to enhance customer experiences while collaborating with cross-functional teams.
Responsibilities:
• Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with engineering to deploy and iterate on models in production.
• AI & LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user-centric metrics.
• Experimentation & Measurement. Design and run A/B tests and segmentation-based experiments. Develop measurement frameworks for personalization. Translate results into actionable insights and model improvements.
• Data & Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.
• Cross-functional Collaboration. Work closely with product owners, engineers, and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non-technical audiences. Operate with high ownership in ambiguous, fast-moving environment.
Qualifications:
Required:
• 2+ years of proven experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL, Python and Spark for data analysis and manipulation.
• Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
• Experience working with LLMs or Generative systems in applied settings.
• Experience working with cloud platforms like Azure or GCP.
• High level of independence to develop and own toolkits, pipelines, and dashboards.
Preferred:
• Experience working with Databricks is a plus.
• Experience working with Data Engineering and MLOps is desirable.
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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