200+ applicants

Company

Synergy · 1 day ago

Data Scientist (ML)

United States

Full-time

Remote

Mid, Senior Level

$95K/yr - $125K/yr

7+ years exp

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IT Services and IT Consulting

No H1B

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Responsibilities

Captures, processes, manages, and analyzes large data sets to identify trends and insights using advanced techniques, including natural language processing, cluster analysis, image analysis, pattern recognition, predictive modeling, and visualization

Hands-on development and engineering of large-scale data science solutions, preferably in production environments

Develop predictive models and validate their performance

Ensures that data pipelines, ML pipelines, monitoring activities are established for continuous integration / continuous development (CI/CD)

Visualize and report findings to stakeholders using various visual formats and adapt presentations to audiences with different technical levels

Establish and maintain data collection and storage systems, programs, and procedures to build analytic systems, ensuring accurate and efficient data management

Work closely with stakeholders to understand business needs and define project requirements

Stay current with industry trends and apply best practices in data science

Collaborate with cross-functional engineering and operations teams to deliver solutions

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

RPythonSASSPSSML algorithmsStatistical modelingAWSAzureGCPData analysisFeature selectionDimensionality reductionSnowflakeOracleSQLPower BITableauMatplotlibScikit-learnPandasNumPyData visualizationMicrosoft Office 365Agile environmentProject documentationAWS Certified Solutions ArchitectMicrosoft Certified Azure Solutions Architect ExpertGoogle Cloud Professional Cloud Architect

Required

Proficiency in programming languages / statistical software like R, Python, SAS, or SPSS

Experience with at least one cloud platform, such as AWS, Azure, or GCP

Proficiency in ML algorithms and statistical modeling techniques

Experience with data analysis, feature selection, and dimensionality reduction

Experience with enterprise data platforms (e.g., Snowflake, Oracle, SQL)

Experience in data visualization tools (e.g., Power BI, Tableau, Matplotlib)

Experience with ML libraries and tools like Scikit-learn, Pandas, and NumPy

Understanding of business processes and ability to align data projects with organizational goals

Ability to clearly communicate/present technical issues and status to customers

Ability to create project documentation (e.g., SOP) and user guidance

Proficient with Microsoft Office 365 applications, specifically Word, Excel, PowerPoint, Outlook, OneDrive, Teams, and SharePoint

Experience working in an agile environment, coordinating across multiple teams

Ability to execute in a remote work environment

US Citizen or US Work Authorization

Preferred

Experience with Federal government customers preferred

AWS Certified Solutions Architect (Highly Desired)

Microsoft Certified Azure Solutions Architect Expert (Highly Desired)

Google Cloud Professional Cloud Architect

7 years of technical experience and a Bachelor’s Degree in Computer Science, Information Management (IM), Information Technology, Engineering, or equivalent; IT Solutions management experience preferred