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Lead Data Scientist

Hybrid
Senior
๐Ÿ‡ฎ๐Ÿ‡ณ India
๐Ÿ‘ถPaid parental leave
Data Scientist
Data science & Analytics

If you are part of aioneers, you are on a journey to revolutionize supply chain management. You are part of a solid, creative start-up and a unique team. You do not only shape how companies manage their supply chain in the future or how aioneers grows โ€“ you also shape your own personal success story. At aioneers, we digitize tactical and strategic decision-making through our SaaS platform AIO for supply chain management and manufacturing operations. We believe in creating something big with the smartest technologies and people like you.To expand our Product Development Team, we are looking for an experienced and passionate Lead - Data Scientist (m/f/d) to join our team in Pune, India.

In case the following tasks resonate with you, we are eager to getting to know you:

  • You gather, analyze and model data to solve complex business problems and evaluate scenarios to make predictions on potential future outcomes in the supply chain domain

  • You drive continuous improvement of data science and engineering by researching industry leading practices and incorporating it to our company

  • You are a problem solver, detail-oriented and self-motivated who thrives in a fast-paced, highly dynamic environment, combining technical, product, business and leadership perspectives.

  • You make decisions based on "best solutionโ€ You enjoy ensuring scalability, performance and release capability in a professionally managed start-up through excellent development, time and time again.

  • University degree in Physics, Statistics, Econometrics, Computer Science, Engineering or another quantitative discipline

  • 10+ years of relevant work experience

  • Solid knowledge of end-to-end supply chain management as well as experience in supply chain process analysis and optimization

  • Solid work experience with / in:

    • Python, SQL and PySpark for data analysis and data exploitation
    • ETL/ELT best practices
    • Software development principles
  • Good understanding of commonly used python libraries for data analysis, e.g. Pandas, Numpy and SciKit-Learn

  • Understanding of orchestration frameworks such as Airflow

  • Understanding of deep learning framework such as Pytorch

  • Experience in working with REST APIs - both synchronous vs asynchronous

  • Basic understanding of dashboarding tools like QlikSense

  • General awareness of all aspect of data centric applications, that is:

    • developments cycles,
    • quality control,
    • cloud or managed infrastructure, etc.
    • You are expected to give insightful advice on all aspects of data driven applications.
  • Additionally, knowledge of, first experience with or strong interest in the following points is considered a plus:

    • Knowledge of time series analysis
    • Understanding of MLops framework such as MLflow
    • Large Language Models (LLM)
  • Affinity for new technologies and a drive to self-employed learning

  • All skills to collaborate with customers as well as product and engineering teams

  • Ability to understand customer requirements and challenges, prepare use case driven AIO platform product demos and conduct client presentations At aioneers, we are building the next generation of innovative solutions on supply chain technologies. What we can offer is:

  • Great team culture and flexible work hours

  • Respect for your ideas

  • Open discussions / open door policies

  • Attractive remuneration

  • 6 months of paid maternity leave / 2 weeks of paid paternity leave

  • Extensive and attractive insurance plans

  • Paid certifications in relevant technology areas

  • Office at prime location in Baner Your results count and not the hours. You will have the chance to actively participate in the development and execution of innovative business strategies on an international scale.

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aioneers

aioneers

aioneers is a solid, creative start-up focused on shaping next generation supply chains through its SaaS product, the AIO software.

๐Ÿ›’Responsible consumption and production
SaaS
Supply Chain
Startups

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