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Anicca Data Science Solutions Llc Jobs (NOW HIRING)

N4 Solutions, LLC offers our public and private sector clients the collective intellectual ... EDUCATION/EXPERIENCE/EXPERTISE REQUIREMENT: · Bachelor's degree in Data Science, Computer Science ...

N4 Solutions, LLC offers our public and private sector clients the collective intellectual ... EDUCATION/EXPERIENCE/EXPERTISE REQUIREMENT: • Bachelor's degree in Data Science, Computer Science ...

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Anicca Data Science Solutions Llc information

What is the typical team structure and collaboration style at Anicca Data Science Solutions LLC for data science professionals?

At Anicca Data Science Solutions LLC, data science professionals often work within cross-functional teams that include data engineers, software developers, and business analysts. Collaboration is centered around agile methodologies, with regular sprint meetings and project stand-ups to ensure alignment and progress. Team members are encouraged to share insights and problem-solve collectively, which fosters a supportive environment for innovation. This structure not only helps deliver comprehensive data-driven solutions to clients but also provides ample opportunities for professional growth and learning from peers.

What is Anicca Data Science Solutions LLC and what services does it provide?

Anicca Data Science Solutions LLC is a company specializing in data science and analytics services. They offer solutions such as data analysis, machine learning, predictive modeling, and business intelligence to help organizations make data-driven decisions. Their team works with clients across various industries to extract insights from complex data and implement advanced analytical tools. The company also provides consultation and custom software solutions tailored to specific business needs.

What are the key skills and qualifications needed to thrive as a Data Scientist at Anicca Data Science Solutions LLC, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), big data platforms (like Hadoop or Spark), and cloud services (such as AWS or Azure) is often required, along with relevant certifications. Critical thinking, problem-solving, and effective communication skills help you interpret data insights and collaborate with stakeholders. These skills are crucial for transforming complex data into actionable business solutions and driving company innovation.
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Data Science Specialist

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Re-posted 18 days ago


Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.