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Data Scientist

Data Scientist

TopsortContagem, Minas Gerais, Brasil
Há +30 dias
Descrição da vaga

Overview

We're quickly growing and super excited for you to join us!

About Topsort

Topsort is a global, remote-first SaaS company that democratizes the exclusive and powerful auction-based technology so marketplaces and retailers can monetize faster and stress-free.

Our core offering is an auction-powered infrastructure and APIs that help marketplaces build native ads monetization, such as sponsored listings, dynamic banners, and faster.

We are a fast-growing team with a can-do attitude and growth mentality.

Our culture is one of constantly pushing the limits, embracing feedback and ambiguity, and being excited by new challenges.

You will be one of the first 80 employees, so it is important that you are ambitious, have leadership skills, can act hands-on, and are not afraid of new challenges.

We build in the open, collaborate frequently, and hold each other accountable.

If you are looking for a laid-back position where you get a long training period, lots of hand-holding, and full predictability over your day-to-day tasks, this might not be a fit.

If you are looking for a fast-paced environment where you will learn a ton, will be surrounded by great peers, and will be a fundamental part of a fast growing startup, look no further.

Responsibilities

Develop and implement forecasting models for budgeting and advertiser spend predictions.

Analyze large datasets to identify trends and optimize forecasting algorithms.

Collaborate with product and engineering teams to deliver data-driven insights.

Qualifications

Ideal master or Ph.D. in Data Science, Statistics, Mathematics, or related field.

3+ years of experience in data science, specifically in forecasting.

Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-Learn).

Strong expertise in time-series forecasting, regression analysis, and machine learning.

Experience with data visualization tools (Matplotlib, Seaborn).

Knowledge of SQL and experience with cloud data platforms (AWS, GCP).

Experience in ad tech or related industries; familiarity with financial modeling and budget optimization techniques.

Nice to have : AI Forecasting experience.

What motivates you

  • Great opportunity to experience early stage startup life at a seed stage startup that's scaling quickly;

A fast-paced remote team that is international, hard-working, and kind!

  • Day-to-day interactions with kind, smart peers;
  • Deep experience building and scaling go to market efforts;
  • Career support - our team cares deeply about helping you leverage this opportunity for what's next.

  • We will have regular career check-ins to ensure you are also getting the most out of this;
  • Introductions to our collective network of founders, investors, mentors, and more if useful.

    What is it like to work at Topsort?

    Direct and Speedy : We give candid feedback, push each other to set higher goals and produce more impact by always thinking how do we do this faster and better.

    Embrace a Sports Team Mentality : We are all helpful and collaborative internally.

    You are ultimately surrounded by just different people that are all here to help you get the job done and shine as a team.

    Constant Improvement : The Topsort team is made of action-driven, intelligent, and curious individuals who are constantly seeking improvements and reinventions that lead to a better output and are never content with the status quo.

    Silicon Valley to the World : We were born in the pandemic by Stanford and Harvard alum co founders who offer remote-working options with coworking memberships and (at least) once a year in person offsite gathering.

    Do you sound like the right fit?

    Lets dive right in!

    Job details

    Seniority level : Mid-Senior level

    Employment type : Full-time

    Job function : Engineering and Information Technology

    Industries : Technology, Information and Internet

    Data Scientist - Global Business Solutions - Brazil

    We are unlocking community knowledge in a new way.

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