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Senior Data Scientist - Sherpany

SHERPANY

Brasil

Presencial

BRL 160.000 - 200.000

Tempo integral

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A prominent technology firm in Brazil seeks a Senior Data Scientist to manage end-to-end data workflows and build machine learning pipelines. In this role, you will collaborate with various teams to analyze data, produce insights, and drive business growth through impactful recommendations. Ideal candidates possess advanced modeling expertise and strong skills in SQL and Python, along with excellent communication abilities.

Qualificações

  • Advanced modeling expertise in statistical methods and machine learning algorithms.
  • Strong SQL and Python skills.
  • Solid understanding of data engineering principles and pipeline design.
  • Hands-on experience with major Python libraries for data manipulation and visualization.
  • Excellent communication and storytelling with data.

Responsabilidades

  • Build and own end-to-end data-driven workflows for product and business growth.
  • Produce concise, high-impact analyses of product usage patterns on demand.
  • Apply advanced statistical and ML models to product usage and business performance data.
  • Translate insights into actionable recommendations that drive measurable impact.
  • Create impactful reports, dashboards, and visualizations.

Conhecimentos

Advanced modeling expertise
Strong SQL skills
Strong Python skills
Hands-on experience with pandas
Hands-on experience with numpy
Hands-on experience with matplotlib
Hands-on experience with seaborn
Experience with DBT
Experience with Databricks
Experience with Tableau
Experience with Power BI
Descrição da oferta de emprego

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Firmex, Grata, and Sherpany. They all, collectively, define the future for business growth.

Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.

Get started now, we look forward to meeting you.

Job Description

As Senior Data Scientist you will own end-to-end data workflows and build ML pipelines for analytics and predictive modeling. You will partner with stakeholders to refine questions, apply advanced statistical and ML techniques and communicate insights that inspire action.

  • build and own end-to-end data-driven workflows for product and business growth
  • produce concise, high-impact analyses of product usage patterns on demand
  • apply advanced statistical and ML models to product usage, retention and business performance data
  • explain models and results in simple terms for diverse audiences
  • partner with product, engineering and business teams to define questions and guide decisions
  • translate insights into actionable recommendations that drive measurable impact
  • create impactful reports, dashboards and visualizations that highlight what matters most
  • communicate findings clearly to inspire action across teams
What You Bring
  • Advanced modeling expertise (statistical methods, ML algorithms)
  • Strong SQL and Python skills
  • Solid understanding of data engineering principles and pipeline design
  • Hands‑on experience with major Python libraries such as pandas, numpy, matplotlib, seaborn for data manipulation and visualization
  • Experience with DBT, Databricks and visualization tools (Tableau, Power BI) is a plus
  • Excellent communication and storytelling with data
  • Ability to work autonomously and influence decisions
  • Cross‑functional collaboration
  • Structured problem‑solving and documentation

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

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