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Data Scientist

Yael Acceptic

We invite a talented and self-motivated Data Scientist, who is open to new opportunities, in a growing team to join the project that helps farming owners in their business.

 

About

The Data Scientist is a role within the Data Science team. The role is tasked with developing data analysis systems, applications, and models for predictive and prescriptive analytics for animal health, monitoring and traceability. This role requires a synergistic blend of technical knowledge and strategic communication, as well as the ability to lead projects independently. If you are a highly motivated data scientist with a passion for animal welfare, we invite you to apply for this challenging and rewarding position.

 

Responsibilities:

  • Deliver statistical and mathematical models through effective technical leadership;
  • Develop software assets that provide advanced analytical functionality both independently and as part of a team;
  • Leverage domain expertise, statistical methods, and algorithms to analyze and interpret data sets (time-series, tabular data), organizing information to unearth actionable insights and solve complex problems;
  • Collect, cleanse, transform, and integrate data from various sources, including databases and data that exceeds memory limits;
  • Develop and code software programs, algorithms, and automated processes to maintain data integrity;
  • Understand business challenges, limitations, constraints, and goals to align data science capabilities with business needs;
  • Ensure that advanced analytics are seamlessly integrated into decision-making processes and business tasks;
  • Develop and maintain strong relationships with stakeholders to identify project opportunities and define project scope;

  • Promote a collaborative, high-performing data-driven culture across the company.

     

Requirements:

  • Bachelor’s degree with at least 2 years industry experience;
  • Strong Python skills and SQL skills are a must;
  • Excellent Statistical knowledge (LMMs, correlation analysis etc.);
  • Experience with version control and related code reproducibility practices such as git documentation;
  • Experience having deployed Machine Learning models to production;
  • Excellent planning and time management skills;
  • Able to work under pressure in a changing flexible environment;
  • Good communication skills;

  • Fluent oral and written English skills.

     

Would be a plus:

  • Advanced degree (MS, PhD) in a quantitative science or health field (e.g., engineering, statistics, mathematics, physics, computational biology, biostatistics).

     

We offer:

Professional Development: free English courses, free access to the corporate Udemy account, possibility to participate and share your knowledge as a speaker in our internal meetups, and opportunity to work from anywhere (depends on the project).

Benefits: 100% paid vacation and sick leaves, health insurance, free accountant and lawyer services, access to psychological help, membership in the IT Cluster, discount program from WOG, recommendation program, loan program, convenient office location (Kyiv, Kharkiv, Zhytomyr), assistance in relocation, and opportunity to accumulate part of your salary in the company in dollar terms (for Ukrainian PE).

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