Senior Data Scientist Location : Arlington, VA (5 days on site) Locals Preferred Top 3 Skills: 8 years of data science experience Azure, Data Bricks, PySpark Be able to communicate directly with ...
Senior Data Scientist Location : Arlington, VA (5 days on site) Locals Preferred Top 3 Skills: 8 years of data science experience Azure, Data Bricks, PySpark Be able to communicate directly with ...
The Senior Data Scientist plays a critical leadership role in transforming raw data into actionable insights that drive strategic decisions. This role requires the integration of advanced analytics ...
The Senior Data Scientist plays a critical leadership role in transforming raw data into actionable insights that drive strategic decisions. This role requires the integration of advanced analytics ...
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Senior Data Scientist
Boston, MA ยท On-site
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NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD. The Senior Data Scientist will ...
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Baltimore, MD ยท On-site
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San Jose, CA ยท On-site
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Irvine, CA ยท On-site
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Washington, DC ยท Remote
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South San Francisco, CA ยท On-site
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Join Our Team as a Senior Data Scientist at Luminas Advisors Are you passionate about data and eager to make a meaningful impact? At Luminas Advisors, we're looking for a skilled Senior Data ...
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Full Time Senior Data Scientist information
See salary details
$41.5K - $56K
3% of jobs
$56K - $70.5K
0% of jobs
$70.5K - $85K
1% of jobs
$85K - $99.5K
4% of jobs
$99.5K - $114K
11% of jobs
$119.3K is the 25th percentile. Wages below this are outliers.
$114K - $128.5K
16% of jobs
The median wage is $141.2K / yr.
$128.5K - $143K
17% of jobs
$143K - $157.5K
16% of jobs
$163.4K is the 75th percentile. Wages above this are outliers.
$157.5K - $172K
17% of jobs
$172K - $186.5K
10% of jobs
$186.5K - $201K
5% of jobs
$41.5K
$142.5K
$201K
How much do full time senior data scientist jobs pay per year?
What is the difference between Full Time Senior Data Scientist vs Data Analyst?
| Aspect | Full Time Senior Data Scientist | Data Analyst |
|---|---|---|
| Required Credentials | Advanced degree in Data Science, Statistics, or related field; extensive experience | Bachelor's degree in related field; some roles prefer certifications |
| Work Environment | Collaborates with data engineering, product teams; focuses on complex modeling | Supports business decisions; focuses on data reporting and visualization |
| Employer & Industry Usage | Tech, finance, healthcare, and large enterprises | Retail, marketing, finance, and small to medium businesses |
The main difference between a Full Time Senior Data Scientist and a Data Analyst lies in their responsibilities and expertise. Senior Data Scientists handle complex modeling, predictive analytics, and advanced algorithms, often requiring advanced degrees and extensive experience. Data Analysts focus on interpreting data, creating reports, and supporting decision-making with less technical complexity. Both roles are vital but serve different levels of data maturity within organizations.
Full-time
Re-posted 21 days ago
Job description
Location: Arlington, VA (5 days on site)
Locals Preferred
Top 3 Skills:
8 years of data science experience Azure, Data Bricks, PySpark
Be able to communicate directly with business stakeholders
Job Description:
The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
Key Responsibilities and Essential Duties:
- Develop solutions to business problems using the data science life cycle.
- Develop and maintain data analytics solutions and machine learning algorithms
- Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
- Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
- Mine and analyze data from a data lake or data warehouse to drive optimization.
- Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
- Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
- Provide ETL requirements to data engineers to effectively curate files for data analytics.
- Document data science algorithms for maintainability.
- Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
- Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
- Assist in testing, governance, data quality, training, and documentation efforts.
- Mentor junior data scientists and data analysts.
- Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.
Job Qualifications
- 8+ Years of practical data science/data analytics experience.
- Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
- Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
- Fundamental skills in data processing languages such as SQL, Python, or Scala.
- Knowledge in building data science solutions using cloud data services.
- Ability to self-manage and make your own decisions.
- Strong presentation skills to effectively communicate results of analytics to stakeholders.
- Strong documentations skills.
- Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
- Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
- Excellent attention to detail and the ability to efficiently summarize and prioritize information.
- Preferred Qualifications
- Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
- Experience using Databricks for machine learning algorithm development
- Experience in coding languages primarily PySpark, Python,and SQL.
- Experience in agile development and sprint planning.
- Experience utilizing DevOps
- Experience working with streaming datasets/IoT.
- Strong technical writing skills.