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Associate Data Scientist Jobs in Reno, NV (NOW HIRING)

Mining Hydrogeologist

Reno, NV · On-site

$68K - $86K/yr

Associates (M amp;A) is seeking a full-time Mining Hydrogeologist to join our Reno office, where ... The role involves regular interaction with clients, project managers, early-career scientists ...

You'll work in a collaborative environment alongside experienced scientists and contribute to real ... Supporting immunoassay development teams with experimental setup, data collection, and ...

You'll work in a collaborative environment alongside experienced scientists and contribute to real ... Supporting immunoassay development teams with experimental setup, data collection, and ...

Associate's Degree, Bachelor's Degree, BSN, or equivalent work-related experience * Minimum of 3+ ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

Associate's Degree, Bachelor's Degree, BSN, or equivalent work-related experience * Minimum of 3+ ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

Building on a century of innovation, our 48,000 associates help deliver comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and ...

Monitor network performance and analyze data to ensure optimal functionality. * Identify areas for ... Bachelors degree in Computer Science, Information Technology, or related field. * Proven experience ...

Monitor network performance and analyze data to ensure optimal functionality. * Identify areas for ... Bachelor's degree in Computer Science, Information Technology, or related field. * Proven ...

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Associate Data Scientist information

See Reno, NV salary details

$57.3K

$67.8K

$128.6K

How much do associate data scientist jobs pay per year?

As of Jun 23, 2026, the average yearly pay for associate data scientist in Reno, NV is $67,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $59,300.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the role of an associate data scientist?

An associate data scientist analyzes data to identify patterns and insights that support business decisions. They typically work with tools like Python, R, or SQL and assist in developing models, reports, and visualizations under the guidance of senior data scientists. The role often requires strong analytical skills, knowledge of statistics, and familiarity with data management.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What can I do with an associate's degree in data science?

An associate's degree in data science prepares individuals for entry-level roles such as data technician, data analyst, or junior data scientist. These positions involve working with data collection, cleaning, and basic analysis using tools like Excel, SQL, or Python. Further certifications or experience can help advance to more specialized or higher-level roles.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

Is 40 too late for data science?

Associate Data Scientists and other data science roles do not have strict age limits, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses and certifications regardless of age.
What are the most commonly searched types of Data Scientist jobs in Reno, NV? The most popular types of Data Scientist jobs in Reno, NV are:
What are popular job titles related to Associate Data Scientist jobs in Reno, NV? For Associate Data Scientist jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Associate Data Scientist jobs in Reno, NV look for? The top searched job categories for Associate Data Scientist jobs in Reno, NV are:
What cities near Reno, NV are hiring for Associate Data Scientist jobs? Cities near Reno, NV with the most Associate Data Scientist job openings:
Infographic showing various Associate Data Scientist job openings in Reno, NV as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 5% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $67,839 per year, or $32.6 per hour.
Mining Hydrogeologist

Mining Hydrogeologist

Montgomery & Associates

Reno, NV • On-site

$68K - $86K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Montgomery amp; Associates (M amp;A) is seeking a full-time Mining Hydrogeologist to join our Reno office, where work is primarily focused on mining projects. This is a mid-level position that requires consulting experience in hydrogeology at hard rock and lithium brine mine sites. The role involves regular interaction with clients, project managers, early-career scientists, administrative personnel, subcontractors, and regulators.
Responsibilities
  • Preparing proposals and cost estimates
  • Managing and conducting hydrogeologic investigations for mining water management projects, often to characterize baseline surface and groundwater conditions for State and Federal permitting programs
  • Planning field programs, including preparing well drilling technical specifications and work plans
  • Overseeing field programs, including installation of grouted piezometers, monitor wells, and groundwater production wells, conducting pumping tests, and monitoring and sampling of seeps and springs
  • Analyzing, interpreting, presenting, and reporting hydrogeologic data
  • Developing hydrogeologic conceptual models, often for groundwater models
  • Designing and evaluating mine dewatering systems
  • Managing project budgets and schedules
  • Ensuring compliance with health and safety regulations, including applicable government, M amp;A, and client-specific policies and procedures
Qualifications
  • Demonstrated experience with the responsibilities listed above
  • Bachelor’s degree in hydrology, geology, or engineering; graduate degree and professional registration are preferred
  • Five to 10 years of consulting experience, preferably mining hydrogeology projects
  • Strong communication skills, including active listening, technical writing, and presenting project work to clients, stakeholders, and regulators
  • Strong organizational, troubleshooting, and problem-solving skills, with ability to meet deadlines
  • History of engaging in professional organizations, attending and presenting at conferences, and maintaining a robust professional network
  • Ability to develop business, with an emphasis on repeat work from existing clients
  • Positive and enthusiastic attitude, and willingness to collaborative in groups and learn
Your experience at Montgomery amp; Associates will include:
  • Working at a proudly employee-owned company that values long-term career professionals committed to high technical and ethical standards in a team-oriented environment
  • Challenging and collaborative U.S. and potentially international, multidisciplinary projects
  • Safety and technical training
  • Competitive salary and discretionary performance bonuses
  • Medical, dental, and vision insurance
  • Flexible spending account and health reimbursement account
  • Long- and short-term disability
  • Life/Accidental Death amp; Dismemberment insurance
  • Vacation, holiday, personal, and sick leave
  • Paid parental leave
  • Employer matching 401k retirement plan
At M amp;A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners.
We are an Equal Opportunity Employer.
M amp;A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law.