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[Job-21890] Senior Data Scientist with Pre-Sales Experience, Brazil

CI&T

Brasil

Presencial

BRL 60.000 - 100.000

Tempo integral

Há 2 dias
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Resumo da oferta

An established industry player seeks a seasoned Senior Data Scientist to drive data-driven insights and support sales efforts. This role blends technical expertise with business acumen, focusing on the retail and consumer packaged goods sector. You'll perform hands-on data analysis and modeling, collaborate with cross-functional teams, and mentor junior data scientists. Join a diverse and inclusive environment that values collaboration and excellence, where your contributions will significantly impact strategic decisions and innovative solutions.

Serviços

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Wellhub (Gympass)
TotalPass
Profit-sharing (PLR)
Life insurance
CI&T University
Language learning platform

Qualificações

  • 5+ years of experience in data science with hands-on modeling and analysis.
  • Proven experience in a pre-sales or consultancy role engaging with clients.
  • Strong understanding of statistical methods and machine learning algorithms.

Responsabilidades

  • Perform data cleaning, exploratory analysis, and develop predictive models.
  • Collaborate with sales team to showcase data solutions during pre-sales.
  • Translate complex data findings into actionable insights for stakeholders.

Conhecimentos

Data Analysis
Machine Learning
Python
R
SQL
Data Visualization
Statistical Methods
Communication Skills
Problem-Solving
English Proficiency

Formação académica

Bachelor's degree in Data Science
Bachelor's degree in Statistics
Bachelor's degree in Computer Science

Ferramentas

Tableau
Power BI
Spark
AWS
Azure
Google Cloud

Descrição da oferta de emprego

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 6,500 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

We seek a seasoned Senior Data Scientist with a strong background in consultancy pre-sales to join our team. This role requires an individual who seamlessly blends technical data science expertise with business acumen. The ideal candidate will be responsible for driving data-driven insights that inform strategic decisions, while effectively communicating complex concepts to various stakeholders. The role supports our sales efforts by articulating the value of data solutions to potential clients, particularly in the retail and consumer packaged goods (RCPG) industry.

Key Responsibilities

- Data Analysis & Modeling: Perform hands-on data science work, including data cleaning, exploratory data analysis, and developing predictive models using statistical and machine learning techniques.

- Pre-Sales Support: Collaborate with the sales team to understand client needs and showcase our data solutions during pre-sales meetings and presentations.

- Stakeholder Communication: Translate complex data findings into clear, actionable insights for non-technical stakeholders, ensuring alignment with business objectives.

- Solution Development: Design and prototype data-driven solutions tailored to client requirements, demonstrating how these solutions can address specific business challenges.

- Market Research: Stay updated on industry trends and emerging technologies in data science to propose innovative solutions and maintain a competitive edge.

- Collaboration: Work closely with cross-functional teams, including product management, engineering, and marketing, to influence product development and go-to-market strategies.

- Mentorship: Provide guidance and mentorship to junior data scientists, fostering a collaborative environment that encourages learning and growth.

Required Skills and Qualifications

- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.

- 5+ years of experience in data science, with a strong emphasis on hands-on modeling and analysis.

- Proven experience in a pre-sales or consultancy role, with a track record of successfully engaging with clients.

- Proficiency in programming languages such as Python, R, or SQL, and experience with data visualization tools (e.g., Tableau, Power BI).

- Strong understanding of statistical methods, machine learning algorithms, and data mining techniques.

- Excellent communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.

- Strong analytical and problem-solving skills, with a results-driven mindset.

- Advanced English skills (you need to be able to talk to international clients).

Nice to Have

- Experience in the Retail and Consumer Packaged Goods (CPG) industry, with knowledge of common challenges such as demand forecasting and market mix modeling.

- Familiarity with big data technologies (e.g., Spark, Databricks) and cloud platforms (e.g., AWS, Azure, Google Cloud).

- Experience with A/B testing and experimental design methodologies.

- Knowledge of data governance and compliance issues related to data privacy and security.

- Previous experience in leading data science projects from conception to execution, including stakeholder management and project delivery.

If you like, just apply and good luck!

#LI-JM2

#MidSenior



Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Wellhub (Gympass)

-TotalPass

-Profit-sharing (PLR)

-Life insurance

-CI&T University

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

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