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Data Scientist II
- Pay
$88,762–110,000/year — pay source
Must be able to remain stationary 50% of the time. Salary Range: $88,762 - $110,000/yr. This base salary range is a good faith estimate. Based on candidate skills/experience the final offer may be lower/higher.
Read the full posting- Work setting
HybridLocation limits apply — work setting source
This is a hybrid role, and the successful candidate will collaborate with internal business partners to implement data-driven solutions with measurable business value. The candidate must have experience working within a team environment as well as independently, on multiple projects simultaneously, and work well within deadlines. The candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., R, Python, etc.) and techniques (e.g., linear and logistic modeling, tree-based modeling, neural nets, anomaly detection, image/video classification, principal component analysis (PCA), etc.) Experience with Python for big-data analysis built upon structured (SQL) and unstructured (data lakes / Hadoop) file systems is a plus. Preference will be given to candidates with experience in time series analysis prediction with statistics and machine learning. Proficiency in report generation, query writing, databases, and data visualization is imperative and proven / demonstrable experience in this regard is mandatory. KEY RESPONSIBILITIES:- Develop and deploy predictive and prescriptive analytic solutions in Python to drive business value
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDevelop and deploy predictive and prescriptive analytic solutions in Python
Build algorithms and tools to ingest large data sets and predict outcomes
Build semiautomated and automated decision systems for manufacturing
Give data engineers clear direction on model-specific data transformations
Clean and verify data integrity; run ad-hoc analyses and present results
From the employer’s posting
Develop and deploy predictive and prescriptive analytic solutions in Python
Develop algorithms, methods, and tools to ingest large data sets to predict outcomes.
Generate semiautomated and automated decision systems in manufacturing and in the manufacturing supporting organizations.
Provide clear direction to data engineers for model specific data transformation requirements
Process, cleanse, and verify the integrity of data used for analysis
Education & alternatives
- Maintain an up-to-date knowledge of technology trends MINIMUM EDUCATION, KNOWLEDGE, SKILLS AND ABILITIES:- Bachelor's degree in data science, Engineering, Computer Science, Information Systems or related discipline with equivalent work experience in data analysis in lieu of an advanced degree. - Proven expertise in leveraging statistics, machine learning, algorithms and advanced mathematics to solve engineering problems.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20266 days ago
- Recorded sightings
- 48
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Aug 24, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
25307:5238 is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- R
- SQL
- Hadoop
- Hive
- Tableau
Where the posting names them
- Working knowledge of statistics and programming involving time-series data. - Demonstrated skill in the use of one or more analytic, visualization and data querying software tools or languages (e.g., R, Python, Java, Tableau, SQL, Hive / Hadoop). - Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment.
This is a hybrid role, and the successful candidate will collaborate with internal business partners to implement data-driven solutions with measurable business value. The candidate must have experience working within a team environment as well as independently, on multiple projects simultaneously, and work well within deadlines. The candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., R, Python, etc.) and techniques (e.g., linear and logistic modeling, tree-based modeling, neural nets, anomaly detection, image/video classification, principal component analysis (PCA), etc.) Experience with Python for big-data analysis built upon structured (SQL) and unstructured (data lakes / Hadoop) file systems is a plus. Preference will be given to candidates with experience in time series analysis prediction with statistics and machine learning. Proficiency in report generation, query writing, databases, and data visualization is imperative and proven / demonstrable experience in this regard is mandatory. KEY RESPONSIBILITIES:- Develop and deploy predictive and prescriptive analytic solutions in Python to drive business value
This is a hybrid role, and the successful candidate will collaborate with internal business partners to implement data-driven solutions with measurable business value. The candidate must have experience working within a team environment as well as independently, on multiple projects simultaneously, and work well within deadlines. The candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., R, Python, etc.) and techniques (e.g., linear and logistic modeling, tree-based modeling, neural nets, anomaly detection, image/video classification, principal component analysis (PCA), etc.) Experience with Python for big-data analysis built upon structured (SQL) and unstructured (data lakes / Hadoop) file systems is a plus. Preference will be given to candidates with experience in time series analysis prediction with statistics and machine learning. Proficiency in report generation, query writing, databases, and data visualization is imperative and proven / demonstrable experience in this regard is mandatory. KEY RESPONSIBILITIES:- Develop and deploy predictive and prescriptive analytic solutions in Python to drive business value - Develop algorithms, methods, and tools to ingest large data sets to predict outcomes. Generate semiautomated and automated decision systems in manufacturing and in the manufacturing supporting organizations.
Your next step
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
This is a hybrid role, and the successful candidate will collaborate with internal business partners to implement data-driven solutions with measurable business value. The candidate must have experience working within a team environment as well as independently, on multiple projects simultaneously, and work well within deadlines. The candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., R, Python, etc.) and techniques (e.g., linear and logistic modeling, tree-based modeling, neural nets, anomaly detection, image/video classification, principal component analysis (PCA), etc.) Experience with Python for big-data analysis built upon structured (SQL) and unstructured (data lakes / Hadoop) file systems is a plus. Preference will be given to candidates with experience in time series analysis prediction with statistics and machine learning. Proficiency in report generation, query writing, databases, and data visualization is imperative and proven / demonstrable experience in this regard is mandatory.
KEY RESPONSIBILITIES:
MINIMUM EDUCATION, KNOWLEDGE, SKILLS AND ABILITIES:
KEY RESPONSIBILITIES:
- Develop and deploy predictive and prescriptive analytic solutions in Python to drive business value
- Develop algorithms, methods, and tools to ingest large data sets to predict outcomes. Generate semiautomated and automated decision systems in manufacturing and in the manufacturing supporting organizations.
- Provide clear direction to data engineers for model specific data transformation requirements
- Generate descriptive visualizations and presentations to communicate insights.
- Process, cleanse, and verify the integrity of data used for analysis
- Perform rapid ad-hoc analysis and present results in a clear manner starting with structured or unstructured datasets
- Communicate clearly advanced concepts and information to varied audiences
- Maintain an up-to-date knowledge of technology trends
MINIMUM EDUCATION, KNOWLEDGE, SKILLS AND ABILITIES:
- Bachelor's degree in data science, Engineering, Computer Science, Information Systems or related discipline with equivalent work experience in data analysis in lieu of an advanced degree.
- Proven expertise in leveraging statistics, machine learning, algorithms and advanced mathematics to solve engineering problems.
- Two plus years of hands-on experience in data science, or similar experience in mining, steel making, or related industry.
- Working knowledge of statistics and programming involving time-series data.
- Demonstrated skill in the use of one or more analytic, visualization and data querying software tools or languages (e.g., R, Python, Java, Tableau, SQL, Hive / Hadoop).
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment.
- Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets.
- Demonstrated skill at data visualization and storytelling for an audience of stakeholders.
- Ability to work independently.
- Strong organizational, project, process and time management skills.
- Excellent communication skills.
- Ability to think creatively and solve problems.
- Commuter remote structure.
- Ability to travel 15-20% of the time.
- Must be able to constantly operate a computer.
- Must be able to remain stationary 50% of the time.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Must be able to remain stationary 50% of the time. Salary Range: $88,762 - $110,000/yr. This base salary range is a good faith estimate. Based on candidate skills/experience the final offer may be lower/higher.
- Location & working pattern
Location not supplied.
- Ability to think creatively and solve problems. Work Environment/Physical Requirements:- Commuter remote structure. - Ability to travel 15-20% of the time.
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.