Data Science Associate

icon building Company : Metyis
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Job Description - Data Science Associate

Data Science Associate

Data & Analytics

Mid

Zurich

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

  • Interact with our clients on regular basis to drive their business towards impactful change.
  • Work in multidisciplinary teams and learn from motivated colleagues.
  • A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.
  • Become part of a fast growing international and diverse team.

What you will do

  • Perform data analysis in the field of customer and product analytics, marketing analytics, and (Gen)AI solutions.
  • Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
  • Communicate analyses via compelling presentations.
  • Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.
  • Prepare and facilitate workshops.
  • Manage stakeholders and communicating with executives.
  • Coach and mentor team members.

What you’ll bring

  • Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences).
  • 3-5 years of professional work experience in the analytics domain.
  • An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).
  • Advanced knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualization (e.g. PowerBI) to machine learning and AI. Understanding data engineering solutions is a plus.
  • Excellent experience with version control systems, particularly Git, and containerization technologies like Docker.
  • Expertise in cloud services, particularly Microsoft Azure, with a strong ability to leverage cloud-based solutions for scaling data processing and model deployments effectively is a plus.
  • An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.
  • Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
  • Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).
  • Ability to talk the language of statistics, finance, and economics a plus.
  • Professional fluency in English required with (Swiss) German as a strong plus.

Ekin ToruData Engineer Associate, Istanbul

“At Metyis, I feel in touch with the world. Working here inspires me to generate ideas independently and allows me to improve both my data and soft skills. Metyis' innovative and diverse teams promote the opportunity to work with people from various countries and nationalities, which helps me to preserve a forward-thinking mindset.”

Jorge FerreiraData Scientist Analyst, Porto

“I love the community-driven spirit everyone at Metyis possesses; even when we all clock out, we have all kinds of team-building events that further cultivate the harmony that Metyis and its people cherish. It is an exceptionally unified environment to undertake technical challenges.”

Tripti GuptaData Science Lead, Gurugram

“Metyis is a company that truly appreciates talent. Be ready to work smart in highly accelerated growth environment. Metyis has built a global ecosystem for collaborative working and interaction with peers belonging to varied cultures and beliefs.”

Dolly SharmaDirector, Amsterdam

“Metyis is an organisation that provides opportunities that always keep you on your toes. It pushes you to become a stronger professional every day! Metyis promises strategy and execution to its customers that provide satisfaction to see the impact of your work. The cross-culture experience and smart surrounding help you grow quickly and keeps it interesting.”

Ekin ToruData Engineer Associate, Istanbul

“At Metyis, I feel in touch with the world. Working here inspires me to generate ideas independently and allows me to improve both my data and soft skills. Metyis' innovative and diverse teams promote the opportunity to work with people from various countries and nationalities, which helps me to preserve a forward-thinking mindset.”

Jorge FerreiraData Scientist Analyst, Porto

“I love the community-driven spirit everyone at Metyis possesses; even when we all clock out, we have all kinds of team-building events that further cultivate the harmony that Metyis and its people cherish. It is an exceptionally unified environment to undertake technical challenges.”

Tripti GuptaData Science Lead, Gurugram

“Metyis is a company that truly appreciates talent. Be ready to work smart in highly accelerated growth environment. Metyis has built a global ecosystem for collaborative working and interaction with peers belonging to varied cultures and beliefs.”

Dolly SharmaDirector, Amsterdam

“Metyis is an organisation that provides opportunities that always keep you on your toes. It pushes you to become a stronger professional every day! Metyis promises strategy and execution to its customers that provide satisfaction to see the impact of your work. The cross-culture experience and smart surrounding help you grow quickly and keeps it interesting.”

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Data Science Associate

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