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Data Scientist Ph.D

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Entry-level / graduate
Work from: 
Switzerland

Offer summary

Qualifications:

Bachelor/MSc in Statistics, Computer Science, Applied Math or related field, Ph.D. student or completed Ph.D. preferred, Experience in statistics and Bayesian modeling, Knowledge of Machine Learning techniques and NLP, Proficiency in SQL, Python, data science tools.

Key responsabilities:

  • Collaborate with teams to shape product strategy
  • Design and implement analytics solutions
  • Analyze data and provide actionable insights
  • Develop models and optimize algorithms
  • Manage large datasets and apply creative solutions
atwork.ai logo
atwork.ai Startup https://atwork.ai
11 - 50 Employees
About atwork.ai
Welcome to atwork, the People Intelligence Company. We enable organizations to continuously analyze their employee feedback and HR data to turn insights into actions that lead to desired goals and improve business performance.atwork goes many steps further than 99% of tradtional survey providers: We don't just measure your status quo through employee feedback and HR data, we propose the most effective actions you should take to achieve desired results. We help you track your actions taken and evaluate their impact on desired metrics over time.No journey is like the atwork journey because there is no one-size-fits-all: You tell us where you are headed and the atwork Suite guides you there proposing the right actions for you to take. atwork improves key metrics by understanding today's status quo and deriving the most targeted actions that lead to your desired target state. Measure, Act and Impact adapts to your organization and goals, not vice versa.We look forward to hearing from you!
See more atwork.ai offers

Job description

Your mission
 
  • Partner with Product and cross-functional teams to inform, influence, support, and execute product strategy.
  • Design and implement robust analytic solutions ranging from basic statistical analysis to advanced Machine Learning / Artificial Intelligence algorithms to cover the identified needs
  • Construct and manipulate large datasets, and apply creativity in developing solutions using SQL, Python, and other tools
  • Analyze data to discover hidden trends; deliver insights and analysis with clear actionable recommendations
  • Design, build, and implement models into our solutions.

Location
  • Remote in Spain. 
  • Hybrid in Santander 
Your profile
  • Bachelor degree/MSc in a relevant field such as Statistics, Computer Science, Applied Math, Psychologist or other related subject
  • If you are a Ph.D. student or have your Ph.D., you are exactly what we are looking for. No prior corporate experience is required.
 
You have experience in several of the following areas:
  • Background in statistics: familiarity with practically applying both descriptive and predictive models.
  • Solid background using Bayesian statistics and inference.
  • Solid understanding of the Generalized Linear Model (GLM), preferably having developed customized models to suit diverse needs.
  • Experience designing and optimizing Artificial Neural Networks (ANNs). 
  • You have employed Bayesian optimization for hyperparameter searching.
  • Knowledge of psychometry (SEM, CFA, EFA, EGA, etc.).
  • Experience with NLP and using LLMs.
  • Enjoy taking ownership and challenging existing approaches
  • Strong curiosity, problem-solving and problem-finding skills; creative mindset.
  •  Proactive attitude towards the creation and evaluation of new hypotheses and products.
  • Ability to synthesize business questions to key research objectives.
Hands-on knowledge of data science and Big Data tools:
  • Experience with data querying languages (e.g. SQL & NoSQL), scripting languages (e.g. Python), and/or statistical/mathematical software
And techniques:
  • Solid understanding of Generalized Linear Models (GLMs).
  • STAN (cmdstanpy, RStan, etc.) for Bayesian statistical modelling.
  • Regression, clustering and other ML algorithms.
  • Experience with Huggingface models for generating text embeddings.
  • Experience with Deep Learning frameworks, preferably PyTorch.
  • Experience with ML.NET and Azure Machine Learning
  • Experience with additional programming languages (such as: C#, Java)-
  • Familiarity with HR / Occupational data and databases
  • Data visualization skills to generate qualitative insights
  • Languages we expect you to bring:
    • Spanish Professional.
    • English Professional.
What you can look forward to with us
  • Being part of a growing and dynamic start-up culture 
  • A permanent contract 
  • Hybrid (Santander) or remote work with flexible working hours (Friday’s till 3 pm and reduced hours in summer) 
  • 25 holidays a year and 2 additional not ‘atwork’ days 
  • 1 additional week salary/holidays per 3 years of employment 
  • Learning budget and learning hours for your development 
  • Regular team events in Santander 
  • Career Path
Apply for this job
About us

Core Values

Innovation

At atwork, innovation is in our DNA. We continuously challenge the status quo, leveraging cutting-edge technology to transform HR practices and empower organizations. Our team thrives on creativity, turning bold ideas into impactful solutions.


Impact

Driven by an entrepreneurial spirit, we aim to create meaningful change. We equip HR leaders with the tools to make data-driven decisions that not only elevate their teams but also drive business success. Our solutions are designed to be transformative, pushing the boundaries of what’s possible.


Resilience

Resilience is our foundation. We embrace challenges with determination, ensuring that our team and our products can withstand and grow stronger from any adversity. This mindset enables us to support HR leaders in navigating the complexities of the modern workplace.


Holistic Growth

We believe in the power of holistic growth, both for our team and our clients. We foster an environment of continuous learning and development, encouraging collaboration and knowledge-sharing between all departments. Our mission is to help HR leaders and their teams grow not just professionally, but also as individuals.


Integrity

We are defined by passion, integrity, and collaboration. We are a team that values transparency and respect, focusing on our goals with dedication and a shared sense of purpose. We build tools that reflect these values, enabling other teams to work with the same level of professionalism and harmony




Required profile

Experience

Level of experience: Entry-level / graduate
Spoken language(s):
EnglishSpanishEnglish
Check out the description to know which languages are mandatory.

Hard Skills

HR Data WarehouseJava (Programming Language)Data ManipulationArtificial Neural NetworksProject CollaborationGeneralized Linear ModelData ScienceAzure Machine LearningMachine LearningBayesian StatisticsPython (Programming Language)C# (Programming Language)PsychometryData VisualizationNatural Language Processing (NLP)Statistical AnalysisSQL (Programming Language)Deep Learning Methods

Other Skills

  • Creative Thinking
  • Verbal Communication Skills
  • Problem Solving
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