Sr. Data Scientist

Mindgruve; São Paulo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A global digital agency is seeking a results-driven Data Scientist Senior to lead the development of machine learning models focused on marketing. The ideal candidate will have over 5 years of experience in applied data science, with a proven track record in marketing analytics, and be proficient in Python and related libraries. This role involves mentoring junior team members and collaborating across teams to deliver data-driven insights, all in a fast-paced environment.

Qualificações

• 5+ years in applied data science, 2 years in marketing analytics.
• Proven track record in successful data science projects.
• Expert proficiency in Python and machine learning libraries.

Responsabilidades

• Develop and implement machine learning models for marketing.
• Mentor junior data scientists and guide teams.
• Design A/B tests and create visualizations for stakeholders.

Conhecimentos

Python

Machine Learning

Statistics

SQL

Project Management

Data Visualization

MLOps

R

Adaptability

Formação académica

Bachelor's degree in Computer Science, Statistics, Mathematics or related field

Master's or Ph.D. preferred

Ferramentas

scikit-learn

PyTorch

Pandas

NumPy

Matplotlib

AWS

GCP

Azure

Descrição da oferta de emprego

Join to apply for the Data Scientist Senior role at MindgruveWe are a global digital agency composed of strategists, creatives, media experts, data scientists, and engineers driven by one common purpose — accelerate business growth through marketing and digital transformation.

Named a top 3% Google Premier Partner and recognized by Inc.

• and Adweek's 75 Fastest Growing Companies, we're constantly looking for "A" players to join our team.

The rapid growth is attributed to our strongest asset — our people.

Our teams are highly collaborative and work closely with each client to set clear goals and objectives so that we can deliver exceptional results.

Mindgruve is a place where every opinion is valued.MindgruveMacarta is seeking a self-motivated, results-driven Data Scientist.

Our ideal candidate will proactively identify and implement machine learning algorithms for a range of use cases in order to drive client performance.

Responsibilities

• Lead the development and implementation of sophisticated machine learning models for various marketing purposes, including:
• Optimizing the investment mix of marketing campaigns.
• Determining a lead's propensity to purchase.
• Recommending products to existing customers.
• Forecasting future performance for clients.
• Mentor junior data scientists and guide cross‑functional teams in leveraging data‑driven insights.
• Collaborate with marketing and strategy teams to understand complex client needs and translate them into innovative data science solutions.
• Design and oversee A / B tests to validate hypotheses and measure the impact of our solutions.
• Create and present insightful visualizations to communicate findings to both technical and non-technical stakeholders, including C-level executives.
• Stay at the forefront of advancements in machine learning and data science, particularly in marketing applications, and lead the implementation of cutting‑edge solutions.
• Drive the adoption of best practices in data science across the organization.

Qualifications

• Bachelor's degree required; Master's or Ph.D. preferred in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in applied data science, with at least 2 years focused on marketing analytics or related fields.
• Proven track record of leading successful data science projects in a marketing, digital agency, or related environment.
• Expert-level proficiency in Python, with extensive experience using libraries such as scikit-learn, PyTorch, Pandas, NumPy, and Matplotlib.
• Advanced knowledge of MLOps practices and experience leading the implementation of MLOps workflows.
• Deep expertise in advanced machine learning algorithms like XGBoost, Neural Networks, Regression Analysis, and Collaborative Filtering, with a focus on marketing applications.
• Strong experience with SQL and database management, including working with large-scale datasets.
• Proficiency in R and experience with cloud platforms (e.g., AWS, GCP, or Azure).
• Demonstrated ability to lead and mentor junior team members.
• Strong project management skills and experience working directly with clients.
• Excellent verbal and written English skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Strategic thinking and the ability to align data science initiatives with business objectives.
• Adaptability and eagerness to learn in a fast-paced environment.
• Detail-oriented mindset, focused on driving results.
• Seniority level: Mid-Senior level; Employment type: Full-time; Job function: Engineering and Information Technology; Industries: Advertising Services.

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