Data Scientist Ii Data Science Jobs in Union, Arkansas

Job Category: Education & Community Services, Regular, 40 hours per week, 12 months per year

Pulled from the full job description

Having trouble completing your application? For support, please call (206) 461-8430.

When one of us succeeds, we all succeed!

Our Agency Values include Community, Equity, Integrity, Relationships, and Sustainability.

Pay: $26.75 - $29.72 per hour

3+ years of analytics experience including report development and database application/management experience, preferably in a large medical center or healthcare environment

Engage in data management, regression-based data analysis, and manuscript writing

Bachelors degree in computer science, statistics and/or related field required, or combination of equivalent work experience and education.

Develop required research skills in health services research and quantitative analysis

Strong quantitative skills and proficiency working with data analysis tools such as STATA, SAS, and R.

Excellent written and oral communication skills.

Familiarity with databases and data management systems is a plus.

Strong analytical skills with the ability to interpret complex data sets.

Knowledge of programming languages such as Python or R is preferred.

Strong written and verbal communication skills.

Collaborate with cross-functional teams to understand project requirements and deliver accurate results within specified deadlines.

Experience in working with data collection or research projects is preferred but not mandatory; entry-level candidates are encouraged to apply.

Strong knowledge of machine learning algorithms and techniques

Excellent problem-solving skills with a detail-oriented approach

Previous experience working with financial datasets is desirable but not required.

Analytical mindset with strong mathematical skills is essential for this role.

Knowledge of SQL databases will be an added advantage.

Proficiency in statistical analysis tools such as Python, R or MATLAB

Health coverage for medical, dental, vision

401(K) saving plan with company match AND Pension

PTO for community volunteer programs

Employee discounts (membership, insurance, travel, entertainment, services and more!)

AAA is an Equal Opportunity Employer

Enhance our customer knowledge base and participate in special projects as required

Bachelor’s Degree in Computer Science, Mathematics, Statistics, Finance, or a related technical field

3+ years of related experience, master’s degree, and 1+ years of related experience, or equivalent related work experience

Problem solving and troubleshooting skills with the ability to exercise mature judgment

2-3 years experience with SQL, Excel, and BI Tools like Tableau

Basic knowledge of scripting languages like Python is preferred

• Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data

o Proven experience as a data professional with hands-on experience in many data science and machine

o Significant experience in handling unstructured datasets and converting them into Structured datasets

• Experience with one or more data visualization tools such as Power BI, Tableau

• Effective interpersonal, verbal, and written communication skills

• Effective research, analytical, and problem-solving skills

Experience with technical collection abilities

Work alongside other team members to sustain and advance our organization’s capabilities.

Demonstrated knowledge of incident response, containment, and mitigation

Knowledge of common cyber-attack methods

Demonstrated experience conducting detailed log analysis and system monitoring to understand system status, detect system breaches, and identify other system anomalies

Demonstrated experience performing vulnerability identification, risk analysis, and remediation

Computer and Information Science, Mathematics, Computer Engineering, Artificial Intelligence and Robotics, Mathematical Statistics, Statistics, Economics, Operations Management/Research

2 years of relevant work experience

Demonstrated knowledge in Programming languages: Python, R, Java, JavaScript, C++, Unix

Demonstrated knowledge in Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow

Demonstrated knowledge in Visualization tools: Python (Matplotlib, Seaborn, bokeh, etc.), JavaScript (d3), third-party libraries (Power BI, Tableau, Data Studio)

Demonstrated knowledge in productionization and containerization technologies: GitHub, Flask, Docker, Kubernetes, Azure DevOps, GCP, Azure, Amazon Web Services (AWS)

Demonstrates expert level experience in SAS. This knowledge will be tested during the interview process.

Demonstrates extensive knowledge and skill in analytic platform server architecture (Snowflake, LINUX) design.

Demonstrates expert level understanding of analytic methodologies and statistical modeling. This knowledge will be tested during the interview process.

Excellent communication skills and good understanding in the multi-cultural corporate environments.

Minimum 7 years of progressive experience in real world database analytics in or directly supporting a pharmaceutical HEOR function.

Minimum 7 years of experience in statistical programming with statistical software (SAS) in the pharmaceutical industry.

Collaborate with several teams (product and non product) within Meraki to understand their data platform requirements and requests.

Solve challenging scaling problems to ensure a seamless user experience and high uptime.

Currently enrolled in MS in Computer Science / related technical field or equivalent combination of work experience.

2+ years of experience in Python and Scala / Java programming, and scripting languages.

2+ years of experience writing professional production level code and tests.

Experience in containerization technologies (docker) and orchestration platform (K8s).

Collaborate with several teams(product and non product) within Cisco Meraki to understand their data requirements and requests.

Currently enrolled in MS in Computer Science / related technical field or equivalent combination of graduate degree and work experience

Experience in designing, implementing, and debugging ETL pipelines in a distributed system, preferably working with large data sets.

Good understanding of SQL, including experience working with one or more relational databases and data warehouse (e.g., MySQL or Snowflake).

4+ years of experience writing professional production level code and tests.

2+ years of experience in Python, Java, and scripting languages.

Reframing of business activations and decision engines into ML/AI processes designed to achieve the near and long term business impact objectives.

Performing discovery, assessment, and ML/AI reengineering of existing decision engines to enable connected and harmonized intelligence to achieve targeted business outcomes.

Partnering with Retail Analytics to develop insights and pilot measurement of concepts in support of agile and iterative improvement processes.

You are passionate about driving ML/AI transformation for a Fortune 1 company!

You have an analytical mindset and a general understanding of AI/ML techniques.

You demonstrate being able to communicate horizontally and vertically across many stakeholders.

Build and manage sub-category groupings for analysis.

Work with internal and external data sources to create new reporting and automation capabilities.

Build capabilities to analyze and track promotional activities and performance.

1 year experience supporting Walmart.

Experience with Walmart’s Retail Link & Sam’s Club Madrid platforms.

Develop sales performance analytics for each category by integrating multiple data sources.

10+ years of experience with database management systems such as MySQL, PostgreSQL, or MongoDB

6 years of experience analytical skills and the ability to extract insights from large sets of data

2-4 years of experience in building ML models

4-7 years of experience with programming languages such as Python or SQL

7-9 years of experience in data visualization tool such as Tableau, PowerBI, or Looker

3 years of experience with data-related libraries such as Pandas, NumPy, or Matplotlib

FAA Part 107 Remote Pilot Certification required for aerial projects. Not necessary for ground scans.

Previous experience in data capture, mapping, or a related field.

Strong communication skills and punctuality.

Conduct aerial and ground-based data capture in various settings.

Operate and maintain data capture equipment, performing basic troubleshooting as needed.

Ensure data quality and integrity.

2-5 years of experience in a related field like data science, data engineering, decision science, or economics.

Experience building ETL pipelines and/or deploying production-ready data products.

Strong experience with programming and data analysis using Python (preferred) and/or R. Writes clear, documented, and reproducible code.

Experience working with economic data.

Nice to have: Demonstrated experience with statistics and applied econometrics.

Nice to have: Knowledge of data visualization tools like ggplot2, Tableau, R Shiny, or D3.js.

Top-notch organizational skills and ability to manage multiple projects and deadlines in a fast-paced environment

Experience and strong knowledge of data warehousing concepts, big data technologies, and analytics platforms

1+ years of professional experience developing assets in Looker

Excellent collaboration & communication skills to work with stakeholders to translate business needs and ideas into tractable work items.

Excellent communication skills with an ability to effectively present to the senior leadership team, board of directors, and other key stakeholders

Experience using dbt, Snowflake, Streamlit, github, Monte Carlo

Minimum of 2 years experience with programming and application development using Python.

Strong interpersonal and communication skills (written and verbal).

Experience working with human resources/people data is a plus.

Extract, sanitize and leverage large amounts of data from our central HR Data Hub to deploy data science solutions at scale.

Participate in project teams comprised of internal and external team members.

Elicit needs and act in a primary role as a trusted business and analytical partner.

Derive functional requirements from high-level business needs, understanding the question/problem and identifying the data needs and sources.

Other job duties as assigned.

Seven years of experience in Data Science or Business Analytics are required.

Expert-level knowledge of SQL is required.

Experience building and deploying predictive models with demonstrably large or complex datasets to support business strategy is required.

Demonstrable experience applying mathematics, statistics, and machine learning techniques is required.

This position typically reports to Manager or above

Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience

4+ years of experience in business intelligence and analytics

Working knowledge of Microsoft Excel and Power Point

Experience in a modern scripting language (preferably Python)

Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP