Impact Data Scientist - Consultant

Detalhes da Vaga

About ImpactLabs.earth: "Engineering Positive Impact "
ImpactLabs.earth is a small sustainability consultancy based in Lisbon. We support impact companies to continue to grow, we help companies manage their transition, and we leverage digital solutions to accelerate the sustainable transformation of large corporations.
What makes us unique: we are blending the talents of environmental engineers, data, and digital experts with business transformers to leverage the untapped capabilities of data and digital technologies to create an impact.
Our Mission : "We engineer Business for Nature Positive Impact @Scale".
Our Vision: "Humans need to re-invent a new Sustainable World and Economy where Business is used as a Force for Good, with strong Social Foundations and within Planetary Boundaries, to drive Positive Impact on People, Society & Planet."
Our Values: Creativity, Integrity, Excellence, Courage, Co-creation, Transparency, Congruence & Positivity.
Our services entail the whole sustainable transformation process:
Reformulate the company's vision & mission to incorporate Sustainability stakes
Measure the company's environmental impact across the supply chain and create a reduction roadmap
Find innovative solutions to change business models & products
Digitalize sustainability process
Orchestrate business model transformation to reach objectives
WHY JOIN IMPACT LABS?
To have a positive and measurable impact on the environment
To join a small and dynamic team with one day of seminar every month to continue building the team and shaping Impact Labs
To have flexibility with 2 days of remote work per week
To learn from colleagues with a high background diversity (environmental engineer, business, data…)
LOCATION
Based in Lisbon, Portugal:
2 days a week of office work
3 days work from home (optional, the office is available the entire week)
RESPONSIBILITIES & SCOPE OF WORK Data Practice Support (75%): Data Analytics Analyse clients' data to extract insights on how to reduce their negative impact
Create simple dashboards to present results to clients
Implementation of carbon or sustainability management software for clients

Data Science Create sustainability models to quantify clients' impact on planetary boundaries (especially climate, biodiversity, and water)
Implement data science projects to model the climate impact of reforestation and agroforestry

Assess clients' sustainability data maturity and quality
Scan and analyze the best technology solutions for sustainability management
Design pipelines to collect and clean sustainability data
Data Project Management Manage daily client interactions
Understand client pain points and needs to propose adapted solutions
Assess the quality of deliverables and manage timelines

Support to other practices on data-related aspects (10%)
Training to build capabilities (15%)
WHAT WE ARE LOOKING FOR You have a MSc in Computer Science or equivalent
You have been working 2 years or more in a data scientist position or equivalent
You have been coding in Python for at least 2-3 years and are comfortable with the most common packages (pandas, scikit learn, matplotlib…)
You have expertise and real-world experience in data science (remote sensing, computer vision, time series forecasting…)
You have strong experience with at least one data analytics platform (PowerBI, Tableau, Looker…). Experience in data analysis projects with Python (Streamlit, Dash…) is a plus.
You have some knowledge of Data Engineering (ETL, creating pipelines…)
French and Portuguese are nice to have
ABOUT YOU You have a passion for Impact & Sustainability
You believe technologies & data have the power to change the world positively
You are curious and eager to search for new solutions to complex problems
You are a team player eager to learn with a young and motivated team
You are a Thinker & Doer with autonomy, able to work on a hybrid regime
You have written and oral Presentation skills

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Salário Nominal: A acordar

Fonte: Allthetopbananas_Ppc

Função de trabalho:

Requisitos

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