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Gugu Robotics logo
Gugu Robotics

The Future is Now; Beyond Boundaries, Beyond Imagination

Data Practice Lead/Director

DirectorDirectorOtherRemoteSeniorTeam 51-200Since 2016H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

140 days ago

Salary

0

Seniority

Senior

Professional Certificate7 yrs expExperience acceptedEnglishAWS

Job Description

Data Practice Lead/Director

Gugu Robotics

• Modeling & Advanced Analytics: With the help of your team lead design, developing, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). • Data Exploration: Analyze large, complex datasets to extract key insights and translate them into strategic recommendations. • Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization. • Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions. • Partnership & Enablement: Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications. • Mentor junior data engineers, data architects and data scientists, supporting technical development and scientific rigor. • Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.

Job Requirements

  • 7+ years of professional experience in data science, statistics, and applied machine learning.
  • Understand the skills required to build and lead a data practice team, and be able to hire the appropriate skills to the team.
  • Building and deploying Data Mesh architectures.
  • Strong experience in AWS tools and infrastructure and cloud AI and data tools.
  • Demonstrated success deploying data models into production environments using APIs, pipelines, or ML frameworks.
  • Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering.
  • Experience with tools such as Databricks, AWS data tools such as SageMaker, Glue etc and Snowflake is essential.
  • Experience of Palantir would be an advantage.
  • AWS cloud certifications or ML specialization credentials are an advantage.

Benefits

  • Competitive salary
  • Flexible working hours
  • Professional development opportunities

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