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Exploration Production Data Scientist Jobs (NOW HIRING)

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

We have an exciting opportunity for aData Scientist within our data product space.This individual ... data products and is not limited to exploratory analysis or reporting. This position is open to ...

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

... Product Management, User Experience, subject-matter experts, and other business units to develop ... Conduct exploratory data analysis, anomaly detection, measurement, and structured and unstructured ...

NY · On-site

Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI ... production. * Champion best practices in experimentation, causal inference, and uplift modeling ...

As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis ... Develop reusable analytical processes, reporting solutions, and data products to support ongoing ...

Showing results 21-40

Exploration Production Data Scientist information

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$46K

$165K

$243.5K

How much do exploration production data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for exploration production data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Exploration Production Data Scientist jobs?

For Exploration Production Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Exploration Production Data Scientist job openings in the United States as of June 2026, with employment types broken down into 7% As Needed, 21% Full Time, 58% Part Time, 7% Temporary, and 7% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Spanish Lake, MO

Full-time

Posted 24 days ago


Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities
  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.