Data Scienitst (ML, Open-source AI, AWS, Quicksight)

Data Scienitst (ML, Open-source AI, AWS, Quicksight)

Posted Today by 1759913709

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Negotiable
Outside
Remote
USA
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Advanced Mathematics Amazon Web Services (AWS) Artificial Intelligence AWS Certified Cloud Practitioner Business Case Cloud Computing Cloud Technologies Cloud Technology Data Architecture Data Science Extract Transform Load (ETL) Finance Forecasting Information Management Machine Learning Management Microsoft 365 Microsoft Excel Microsoft Visio Microsoft Word Open Source Development Predictive Modeling Probability And Statistics Python (Programming Language) SQL (Programming Language) Stakeholder Management Statistics Web Services

Summary: The Senior Data Scientist role focuses on leveraging extensive experience in data science, machine learning, and cloud technologies, particularly AWS, to drive data-driven business solutions. The position requires strong analytical skills and the ability to manage projects while mentoring junior colleagues. The ideal candidate will have a solid background in predictive modeling and effective communication skills to present findings to various stakeholders. This role is fully remote and classified as outside IR35.

Key Responsibilities:

  • Manage and lead Advanced Analytics projects end-to-end.
  • Utilize data science modeling, forecasting, and analytics to provide data-driven solutions.
  • Mentor junior data scientists and colleagues.
  • Communicate findings effectively to internal and external clients.
  • Work independently with business users and cross-functional leaders.
  • Analyze ambiguous data sets to derive meaningful insights.
  • Utilize AWS and other cloud environments for data science applications.
  • Create and deliver presentations to multiple audiences.
  • Utilize data analytic software such as R, Python, and SQL.
  • Implement Extract Transform Load (ETL) processes and manage data architecture.

Key Skills:

  • Bachelor's degree in finance, Engineering, Analytics, or Information Management; Masters/PhD in Mathematics or Statistics preferred.
  • 8+ years of experience in data science modeling, forecasting, and analytics.
  • 3+ years of experience in machine learning and ML operations engineering.
  • 2+ years of experience with AWS or other cloud platforms.
  • Strong experience with Quicksight and open-source AI.
  • Data Science Certifications and AWS Cloud certification preferred.
  • Strong predictive and statistical modeling skills.
  • Advanced expertise in data analytic software (R, Python, SQL).
  • Expert knowledge of Microsoft productivity tools (Excel, Word, Visio).
  • Ability to work in a collaborative and fast-paced environment.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Senior Data Scientist

Required Skills:

  • Bachelor s degree in finance, Engineering, Analytics, or Information Management is required. Masters/Phd in Mathematics or Statistics preferred.
  • 8+ years equivalent experience in data science modelling, forecasting, data analytics
  • 3+ years in machine learning, ML operations engineering.
  • 2+ years experience with AWS (Amazon Web Services) or other cloud.
  • Open-source AI experience preferred and should be strong on Quicksight and AWS.
  • Data Science Certifications & Certified in AWS Cloud Preferred.

KNOWLEDGE/SKILL REQUIREMENTS

  • Experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML
  • Proven ability to manage projects and ability to know when to dive deep in providing a data driven solution.
  • Ability to take ambiguous sets of data and decipher meaning to tell a story or business case that drives business decisions is required. Should be strong in AWS suite.
  • Strong predictive, statistical modelling skills.
  • Strong ability to communicate both written and verbally to internal and external clients.
  • Ability to work independently with business users and cross functional leaders.
  • Ability to solve for higher ambiguity using data science.
  • Strong ability to create and deliver effective presentations to multiple audiences.
  • Advanced expertise using data analytic software such as R, Python, SQL.
  • Expert knowledge of Microsoft productivity tools: Excel, Word, and Visio and other software is necessary.
  • Ability to work in a collaborative environment and fast paced environment.
  • Knowledge of Extract Transform Load (ETL), Data Architecture preferred.
  • Ability to mentor junior data scientists and colleagues.
  • Lead/Mentor colleagues and junior data scientists. Initiate and manage Advanced Analytics projects end-to-end.

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