Lead Data Scientist

GlobalSource IT; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

An innovative firm is seeking a Lead Data Scientist to spearhead advanced analytics solutions that drive business transformation. This role emphasizes the application of machine learning and statistical methodologies to extract valuable insights, enabling business partners to make informed decisions. The ideal candidate will possess extensive experience in data science, leading projects from conception to implementation while effectively communicating findings to stakeholders. If you're passionate about leveraging data to foster innovation and growth, this opportunity is perfect for you.

Qualificações

• 5+ years of experience in data science with a focus on machine learning.
• Expertise in statistical methods and data-driven decision making.

Responsabilidades

• Design and deploy machine learning models for predictive analytics.
• Lead data science projects and collaborate with cross-functional teams.

Conhecimentos

Machine Learning

Statistics

Data Analysis

Python

SQL

R

Communication Skills

Ferramentas

Databricks

Azure

Descrição da oferta de emprego

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Location: Remote (Ability to support US Central Time Zone)

Duration: 6-12+ months

Experience Level: Minimum of 5+ years of relevant experience

Job Overview:

The Lead Data Scientist will play a key role in designing, developing, and deploying advanced analytics solutions to support the client’s transformation and rapid growth. This role requires a deep understanding of statistical and machine learning methodologies to extract insights and enable business partners to make data-driven decisions.

Key Responsibilities:

• Design, develop, and deploy machine learning and statistical models for predictive analytics, classification, clustering, regression, time series analysis, and other advanced analytics solutions.
• Work closely with business partners to translate complex business problems into clear data science models and actionable insights.
• Lead data science projects from conception to implementation, collaborating with internal and external teams.
• Optimize and scale analytics solutions using cloud-based and distributed computing technologies.
• Effectively communicate technical findings and insights to both technical and non-technical stakeholders.

Required Qualifications:

• Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, and dimensionality reduction.
• Strong experience in traditional machine learning and statistics-based data science projects.
• Proven ability to lead projects independently and collaboratively, working with cross-functional teams.
• Proficiency in programming languages such as Python, SQL, and R.
• Hands-on experience with data science tools (e.g., Databricks), distributed computing, and cloud analytics (e.g., Azure).
• Excellent verbal and written communication skills, with the ability to present complex insights to stakeholders.

If you are passionate about leveraging data science to drive business transformation and innovation, we encourage you to apply for this exciting opportunity!

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting