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Data Scientist

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in a related field, 3+ years of experience in data science or analytics, Proficiency in Python or R and relevant libraries, Experience with data visualization tools.

Key responsabilities:

  • Extract insights from complex data sets
  • Collaborate with cross-functional teams to address business challenges
Ollang logo
Ollang Startup https://ollang.com/
11 - 50 Employees
See more Ollang offers

Job description

Company Description

What is Ollang?

 

We are running towards a borderless world where language barriers do not exist. We not only know it, but we work for it.

 

In pursuit of a globalized world, as the first end-to-end human-powered AI Dubbing start-up, Ollang alone has transcreated over 2 million minutes worth of content into more than 60 different languages so far, generating 3.5+ billion views worldwide, and telling inspiring stories to audiences. 🌏

 

We work with the biggest names in online streaming services like Netflix and YouTube, the entertainment sector, including ATV and TRT World, and production companies such as Ay Yapim and W4tch.TV, content creators like Marina Mogilko, and e-learning platforms like ClassDojo. πŸŽ₯

 

We are rushing towards the Series A round with our elite panel of investors like JIMCO, DAI, Orkun Isitmak, Hande Enes, Merzigo-KEY, Osman Alp Arli, Koray Bahar, to name a few.

 

Our culture relies upon freedom, empowerment, innovation, imagination, creativity, and self-discipline.

And now, we are looking for a high-performing Data Scientist who would become a member of this founding team of soon-to-be unicorn Ollang.

 

Sounds like you? Read the description below carefully and apply now! πŸ’β€β™€οΈ

    Job Description

    What will you work on?

     

    As a Data Scientist, you will be responsible for leveraging your analytical and technical expertise to extract insights from complex data sets, driving informed decision-making and strategic direction. You will collaborate with cross-functional teams to identify, evaluate, and address business challenges, employing your skills in data processing, feature engineering, and data visualization to create effective solutions.

    Qualifications
    • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field
    • 3+ years of experience in data science, analytics, or related fields
    • Proficiency in Python or R and familiarity with relevant data science libraries (Pandas, NumPy, Scikit-learn, etc.)
    • Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, ggplot, etc.)
    • Knowledge of statistical analysis techniques, such as hypothesis testing, regression analysis, and predictive modeling
    • Strong understanding of machine learning algorithms and their applications
    • Experience with big data technologies, such as Hadoop, Spark, or related tools, is a plus
    • Ability to clean, preprocess, and analyze large datasets to extract meaningful insights
    • Familiarity with SQL and experience working with relational and non-relational databases
    • Excellent problem-solving, communication, and collaboration skills
    • Eagerness to learn, innovate, and grow in a fast-paced environment

    Additional Information

    Perks for you!

     

    Flat organization structure with a crackhead culture. πŸ‘»

     

    Merit-based fast-growth environment. πŸ¦Έβ€β™€οΈ

     

    Meal Allowance. πŸ”

     

    Opportunity to work with clients and teammates from all around the world. πŸ§‘πŸ»β€πŸ€β€πŸ§‘πŸΏ

     

    A team that works hard and parties harder. πŸ•Ί

     

    Stock Option Program. πŸ“œ

     

    20 paid vacation days. 🌴

     

    A 13th salary following one year of service with the company. πŸ’Ά

     

    A wide range of online training courses. πŸ“š

     

    Summer and Winter Company Retreats 🚒

     

    Rich referral program πŸ‘―

     

    Brand-new technical setup πŸ–₯️

     

    An in-office ever-overflowing snack corner 🌯

     

    Opportunity to work from different Ollang offices including Istanbul, Seoul, Dubai, and Paris offices. 🏒

     

     

    Are you curious about what goes on behind the scenes in the making of a unicorn? Come become a unicorn-maker with us. Get ready for the world of Ollang.

     

    But before that, let’s put you through a small translation test. What are we trying to tell you here?

    KatΔ±l nosotras se toi ont terbaik witze.

    [Hint: We are multilingual. We can speak multiple languages in a sentence. We’re a showoff. πŸ˜‰]

    Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Collaboration
    • Communication
    • Problem Solving

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