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DATA SCIENTIST

Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Degree in Engineering, Mathematics or Statistics, Minimum of 2 years of experience, Knowledge in Machine Learning and Deep Learning, Experience with AWS and Python.

Key responsabilities:

  • Implement Generative AI solutions
  • Develop reports and insightful dashboards

Job description

Eczacıbaşı Bilişim, whose steps were taken in 1989, has continued its activities by including organizations outside the Group since 2002; It is on its way to becoming the most reliable technology provider with its customer and quality-oriented service approach and effective solutions in the field of information technologies. It continues its activities by using its corporate knowledge with infrastructure technology and solution development services and constantly updating the latest technologies and application areas.



What Do We Expect from Our New Team Member?


  • If you can explore and implement Generative AI solutions, develop use cases, and integrate Gen AI models into analytical workflows to enhance decision-making and innovation,
  • If you can contribute to end-to-end advanced analytical projects that transform data into valuable insights,
  • If you can create data models that aggregate data from various sources, prepare and analyze data to meet specific needs, and develop insightful reports and dashboards,
  • If you can conduct research on new technologies and products and develop prototypes,
  • If you are actively engaged in data analytics projects and are prepared to develop, monitor, and refine advanced analytical models to adapt to changing conditions,
  • If you are adept at investigating analytical opportunities, flagging potential issues, and proposing creative solutions,
  • If you are eager to contribute to the growth and development of our analytical ecosystem.


What kind of teammate are we looking for?


  • A degree in Engineering, Mathematics, Statistics, or a related field. Advanced degrees (Master’s or Doctorate) in Data Analytics are preferred,
  • Minimum of 2 years of relevant experience,
  • If you possess knowledge and experience in Statistics, Machine Learning and Deep Learning algorithms,
  • If you possess knowledge and experience with Large Language Models and developing RAG (Retrieval Augmented Generation) based solutions or fine-tuning on LLM,
  • If you possess knowledge and experience in developing basic web applications or APIs to deploy ML/DL/LLM models using Dash, Flask, JavaScript and React,
  • If you have experience in fine-tuning Generative AI models for specific business needs and optimizing their performance,
  • If you possess knowledge and experience with cloud platforms, particularly AWS,
  • If you are proficient in using Python (Pandas, Scikit-Learn, TensorFlow etc.), SQL and data modeling, for Data Analytics projects,
  • If you enjoy analytical thinking and research, are curious about new technologies, and have a strong desire to learn,
  • If you are prone to teamwork and interpersonal abilities,
  • Proficiency in English is preferred.


What is here for you?


  • You can continuously improve your personal, professional, and technical competencies by participating in our training programs that support you and your career.
  • Opportunities for global opportunities and rotation among more than 120 international markets among more than 50 organizations can always knock on your door.
  • Leaves at Eczacıbaşı are calculated according to the seniority year based on the total working experience of the person. Your permission comes with you.
  • We always appreciate their success with different rewarding methods.
  • You can benefit from location-independent or hybrid working opportunities with different working models according to the nature of your job, and you can determine your own working schedule with flexible working hours. We offer technology and ergonomics support packages to Eczacıbaşı employees who work remotely full-time.
  • Being a parent working at Eczacıbaşı is privileged. At Eczacıbaşı, our employees who are mothers are provided with monthly nursery support and our employees who are fathers are entitled to 3-week paternity leave.
  • We are determined to provide equal opportunity in employment. We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or seniority. #WeDoNotDifferentiateBetweenJobsForWomenAndMen

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Thinking
  • Research
  • Social Skills
  • Teamwork

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