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Financiële en accountancy vacatures Amsterdam

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Accelcia Business Services

Data Scientist - Energy (Oil & Gas)

Accelcia Business Services Amsterdam

Vistar Media

Finance Business Partner, EMEA

Vistar Media Amsterdam

Quatt

Senior Backend Developer

Quatt Amsterdam

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financieel-accountancy, amsterdam, 25 km


Forcyd

Financial Administrator

Forcyd Amsterdam
30.000 tot 40.000
0 - 32 uur

Paidy LLC

Full Stack Software Engineer

Paidy LLC Amsterdam
32 - 40 uur

Serviceplan Group Netherlands

Assistant Business Controller

Serviceplan Group Netherlands Amsterdam
4.000 tot 5.500
32 - 40 uur

Houthoff

Belastingadviseur-stagiaire

Houthoff Amsterdam
2.500 tot 3.500
32 - 40 uur

Projective Group

Junior Legal Consultant

Projective Group Amsterdam
40.000 tot 55.000
32 - 40 uur
HBO

Regeljelease

Salesforce Developer

Regeljelease Amsterdam
4.250 tot 5.750
32 - 40 uur
HBO - WO

Papashouses

Senior Financieel Medewerker | Interim | 32-40 uur

Papashouses Amsterdam

AuditReady

Finance & Audit Manager

AuditReady Amsterdam
70.000 tot 90.000
32 - 40 uur

Top Employers Institute

Regional Controller

Top Employers Institute Amsterdam
60.000 tot 80.000
32 - 40 uur
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SINCERIUS

Front-end Engineer

SINCERIUS Amsterdam

Quantbox Research

Junior Quantitative Researcher - Amsterdam

Quantbox Research Amsterdam
50.000 tot 70.000
32 - 40 uur
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Crédit Agricole Group

Reporting Officer M/F

Crédit Agricole Group Amsterdam
45.000 tot 60.000
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Accelcia Business Services
Data Scientist - Energy (Oil & Gas)
Accelcia Business Services Amsterdam
Status Open
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Type vacature
intern

Vacaturebeschrijving

Data Scientist - Energy (Oil & Gas)

Location: Amsterdam, The Netherlands (Hybrid)

About this position: Context Labs is seeking a Data Scientist to support the deployment of Context Labs’ Decarbonization as a Service platform, built on our Immutably Data Fabric technology. The candidate will perform research and analysis required by customer projects to deploy data-driven business products related to greenhouse gas mitigation within the energy industry. Responsibilities include understanding, integration, testing and analysis of data from a wide variety of data sources, developing and documenting methodology for scalable emissions analytics, building and testing predictive models for anomaly detection and other use cases. This is a diverse role requiring skills from software development to applied mathematics and statistics. This position reports to the Chief Data and Analytics Officer.

In this role you will:

  • Perform exploratory and diagnostic data analysis to derive business insights.
  • Be responsible for data mining using state-of-the-art methods.
  • Develop predictive models using classification and regression analysis techniques.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Document requirements and resolve conflicts or ambiguities.
  • Document the types and structure of the business data (logical modeling) and lineage.
  • Report on the results of the analysis in succinct form.
  • Anything else as may reasonably be required by the company.

Experience:

  • Good understanding of machine learning techniques and algorithms.
  • Solid understanding of research design principles.
  • Strong programming skills in Python. Experience with JavaScript is a plus.
  • Broad experience with elements of Python’s data science and machine learning ecosystem including NumPy, Pandas, Jupyter, SciPy, Scikit-Learn, Statsmodels, Altair, etc.
  • Strong communications skills with technical and non-technical audiences.
  • Experience with data visualization tools and frameworks such as Vega/Vega-Lite, D3.js, Plotly, Gephi, Tableau, etc.
  • Proficiency in using SQL for data transformation and aggregation.
  • Familiarity with conceptual and logical data modeling principles.

Preferred Experience:

  • Previous experience performing data analysis in oil & gas or climate science applications would be viewed favorably but not required.
  • 4+ years of experience in a relevant data science role.
  • Master’s degree in computer science, data analytics, applied mathematics, or related field.
  • Degree in environmental science or climate science with strong experience in data analysis.

Why you’ll like it here:

  • Context Labs is collaborative at its core. You’ll work within your team and across the organization allowing for continuous learning and discovery.
  • We set goals that matter and provide value in all that we do, from building meaningful products to positively impacting carbon reduction and climate change.
  • Context Labs’ mission is to transform complex data into continuously proven information. Powered by Immutably, an innovative, trusted data fabric platform, our integrated solutions deliver context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the ground truth hidden inside the world’s most complicated, persistent problems.

We understand that applying for a job can be intimidating. Applicants rarely meet every single job requirement, and we know there are many skills and backgrounds that will contribute to success in this role. If you’re interested in applying, please do so.

Context Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be. Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please contact Human Resources at HR@contextlabs.com.

Who we are:

Context Labs solves big global problems by elevating trust in data. Our Immutably Platform solutions enable individuals, companies, and governments to produce data-driven insights that can be irrefutably trusted and verified. While the technology has broad application, our main focus is on climate initiatives that move the needle. We're a rapidly growing team of creative problem-solvers that leverage disruptive technology to crack the world's fundamental “too hard” challenges (such as decarbonization and water/food security). Do you want to have an impact working with smart, passionate people that push themselves, support each other and celebrate wins as a team? Join us.

We are a team that is hiring and growing! Learn more about Context Labs here:

www.contextlabs.com

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