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Senior Data Science Analytics Jobs in Minnesota (NOW HIRING)

Senior Data Scientist

Saint Paul, MN ยท On-site

$128K - $153K/yr

Experience analyzing system performance data and time series data. * Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong background in statistical ...

Sr Data Scientist

Saint Paul, MN ยท On-site

$118K - $177K/yr

Ecolab Digital is seeking an Artificial Intelligence & Analytics - Sr Data Scientist focused AI and ... emphasis on analytics and 6 years of experience in progressive data science roles or Master ...

Ecolab Digital is seeking an Artificial Intelligence & Analytics - Sr Data Scientist focused AI and ... emphasis on analytics and 6 years of experience in progressive data science roles or Master ...

As a Senior Data Scientist, you will lead high-impact analytics initiatives within our Ads Analytics team. In this manager-level role, you'll guide technical execution, mentor data scientists, and ...

AI and Data Science Engineer III

Minneapolis, MN ยท On-site

$119K - $143K/yr

We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven ...

$152K - $205K/yr

As a Senior Data Scientist at Circle, you'll work closely with business partners to better ... Create data visualizations to translate analytic and data science results for broad understanding ...

Principal Data Scientist

Minneapolis, MN ยท On-site

$129K - $183K/yr

The Senior Data Scientist ensures the integrity and accuracy of statistical processes within the ... data science, math, statistics, or a related analytical field. * A minimum of 7 years of ...

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Senior Data Science Analytics information

What is the highest paying job in data analytics?

In data analytics, senior roles such as Chief Data Officer, Data Science Director, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, big data tools, and strategic decision-making, and they typically involve leadership responsibilities and extensive experience.

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $100,000 to $130,000 annually, depending on factors such as industry, location, experience, and company size. Advanced skills in programming, data visualization, and statistical analysis can contribute to higher compensation in this role.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data science analyst; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, along with practical experience and continuous learning. Employers value expertise and problem-solving ability over age alone.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for skilled analysts to interpret results, develop models, and communicate findings remains essential in data science analytics roles.
What are the most commonly searched types of Data Science Analytics jobs in Minnesota? The most popular types of Data Science Analytics jobs in Minnesota are:

Senior Data Scientist

Accelint

Saint Paul, MN โ€ข On-site

$128K - $153K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Note: This position is contingent upon contract award.
Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what's happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.
For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.
Accelint brings together the talents of Hypergiant, Forward Slope, Systems Innovation Engineering, SoarTech, and Highbury Defense Group under one mission, with each entity contributing deep expertise in its domain. This role is part of our Systems Innovation Engineering (SIE) division, which specializes in readiness and logistics, autonomous platforms, and sensor technologies. SIE develops resilient, integrated systems that enhance situational awareness, sustain mission readiness, and deliver reliable performance across air, ground, and maritime environments.
Job Description
  • Senior Data Scientist
  • Full Time
  • Onsite/Hybrid Preferred

The Senior Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for software and edge solutions team. This role focuses on developing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will apply knowledge of statistics, machine learning, programming, and data modeling. They use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms to mine the stores of big data. They generate and test hypotheses and analyze and interpret the results of product experiments. Create data visualizations, dashboards, and reports to communicate findings. This role will involve applying AI/ML techniques to read and process technical data to include CAD models for ingestion into enterprise systems. The Senior Data Scientist will work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. This role will require collaboration with other data scientists and software engineers to implement algorithms and provide insights to end users. The ideal candidate has at least 5 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams.
Duties & Responsibilities
  • Lead the design, development, and implementation of statistical techniques and algorithms.
  • Write clean, maintainable, and efficient code, and ensure best practices in coding standards.
  • Test algorithms against key benchmarks and implement techniques to enhance performance.
  • Work with developers, solution architects, and DevSecOps engineers to incorporate algorithms within software architectures and effectively deploy the algorithms within existing code base.
  • Work with engineers to incorporate prototype algorithms into new products, services, and features and provide guidelines for large-scale implementation.
  • Research and identify areas for applications of AI/ML in support of the program.
  • Work with the development team and government teams to align AI/ML efforts.
  • Prepare and maintain comprehensive technical documentation related to algorithm development.
  • Ensure accuracy and completeness of all documentation.
  • Mentor junior data scientist and coordinate activities to complete key data science tasks
  • Foster effective collaboration with cross-functional teams to achieve project objectives.
  • Communicate complex technical information clearly and effectively.
  • Utilize advanced software development tools and methodologies to support project requirements.
  • Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy.
  • Performs other duties as assigned.

Required Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field.
  • At least 5 plus years of experience in data science or related discipline.
  • Experience analyzing system performance data and time series data.
  • Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.).
  • Strong background in statistical analysis, forecasting techniques, and anomaly detection
  • Experience with SQL and relational databases.
  • Knowledge of data visualization tools for creating operational dashboards (Tableau, Power BI, Grafana, or similar).
  • Understanding of machine learning fundamentals with a willingness to expand AI/ML implementation skills.
  • Excellent problem-solving and analytical skills.
  • Superior written and verbal communication skills.
  • Currently holds an active U.S. national security clearance or be able to receive and maintain one.

Preferred Qualifications
  • Experience working with CAD models and other technical data sets
  • Experience researching, developing, and implementing machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems
  • Familiarity with stream processing of real-time data
  • Knowledge of cloud platforms (AWS, Azure, or GCP) and their monitoring services
  • Experience with ML frameworks (TensorFlow, PyTorch, or similar)
  • Familiarity with version control systems (Git)
  • Experience with containerization and orchestration tools (Docker, Kubernetes)
  • Exposure to data streaming applications (Confluent, Kafka, RabbitMQ, or similar)
  • In-depth understanding of the aerospace and defense industry.

Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.
  • This position is hybrid located in St. Paul, MN.
  • Fully remote candidates may be considered with increased expectation for travel.
  • This position may require the ability to travel up to 10%.

Work Environment
Hybrid work arrangements are strongly preferred for this role to support regular in-person collaboration with program and project teams. Fully remote candidates may still be considered; however, remote employees should expect increased travel requirements to support onsite team engagement. Employees may telework on designated days or as needed with supervisor approval, provided they maintain established communication expectations and effectively meet job responsibilities. Travel may be required 1-2 times per month to customer sites, subcontractor locations, and other company offices.
Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
Paid Time Off
Paid Company Holidays
Medical, Dental & Vision Insurance
Optional HSA and FSA
Base and Voluntary Life Insurance
Short Term & Long-Term Disability Insurance
401k Matching
Employee Assistance Program
The pay range for this role is:
128,030 - 153,613 USD per year (St. Paul, MN)