Position: Data Science Engineer
Company: Valtech
Category: Data Science
Experience required: 3y
English level: upper

**The opportunity**

We are looking for **Data Science Engineer with a Digital Focus** to join our network of more than 5000 consultants in 20 countries. Numerous new and ongoing projects ranging from enterprise content solutions, mobile apps, and data services to experience-driven enterprise e-commerce, user experience, and marketing. Global opportunities to work with different industry verticals: retail & luxury, financial, healthcare, travel & hospitality, automotive, media & entertainment.
This job is situated in our specialized Digital Analytics & Strategy unit In Valtech named Valtech_CoSDaT. We are helping leading brands and companies worldwide realize growth potential based on Data. We are 150 specialized consultants. Our clients choose us, because of our dedication to producing clear and measurable commercial results. A trait in which we take great pride. Among our clients are many international brands across industries such as L’oréal, BMW, Cancer fond, LVMH etc. We take on commitment and clients across the world.
We deliver innovation with a purpose. While our expertise is Data Science, Digital Analytics, Optimization & MarTech our passion is in addressing transformational business challenges for our clients. Challenges where we re-imagine the customer journey and help the client achieve commercial value. Challenges where we make data work in this new era and help our clients transform the way they operate and optimize business-critical digital platforms for multichannel commerce and marketing.
From discovery to optimization clients trust Valtech to remove complexity and deliver innovative, frictionless solutions that close the experience gap between customer expectation and reality.

**The ideal candidate’s skills include:**

You know what it takes to create business value from deeper and more complex data insight. You are a strong number cruncher with competencies in Machine Learning and AI. You have great experience with statistical programming, predictive analytics, and pipelines, especially implementation, tuning, and testing of machine learning and AI models, e.g., in R or Python. Finally, you will have the ability to make data science understandable and transparent for all our client’s stakeholders and you are devoted to creating sustainable solutions.
Furthermore, we are looking for someone who can say yes to the following:

/ Have a solid data scientist toolbox with at least 2 years of experience
/ Experience in using Python & SQL
/ Experience with Git & CI/CD
/ Interest in data engineering and would like to learn and development within this area as well
/ Familiar with Cloud Data environments such as Databricks & Snowflake
/ Have creative problem-solving capabilities and can identify use cases based on complex data structures and business challenges
/ Strong mathematical & statistical knowledge
/ Enjoy explaining complex topics in an understandable way
/ Have a curious mindset and an appetite to learn new things every day
/ Upper-Intermediate English level
/ Accountability, strong communication, collaboration, and time-management skills
/ Strong desire to learn more about business every day

**The Role**

You will be a part of the Advanced Analytics team, which is passionate about enabling businesses to become data-driven. Deriving value out of data and enabling businesses to do the same will be a large part of your workday along with advising clients within the Data Science area. You will harness data to provide real-life digital impact for organizations globally. You will work closely with our clients, data engineers, data analysts, and data scientists to make the most out of client data. This role will allow you to use state-of-the-art technologies to solve highly impactful business problems, whilst also leveraging your strong communication skills to convey complex intractable ideas to non-technical audiences. You will be able to use your strong intrinsic technical ability and aptitude to solve complex problems using technology.
You will:
/ Work with our clients to understand and co-create their data strategy and help them identify data use cases
/ Work with data that is ingested and processed from multiple sources and systems into Data Cloud platforms
/ Use your in-depth practical and theoretical knowledge of Data Science to figure out how to make the most value out of data
/ Need to understand, assess, and map the data & analytics landscape
/ Collaborate in teams with strategy consultants, data analysts, and data engineers to help formulate and execute the Data Strategy for different clients.

You will be a part of a team of 7 Data Scientists & Data Engineers who are working across the full Data & Analytics architecture. You will work across teams with other talented consultants within Valtech covering areas like Analytics, Management Consulting, CRO, Data Engineering, and MarTech.

**Benefits**
**Mental and physical health:**
/ Medical insurance
/ Sports reimbursement budget
/ Home office support
/ A number of free psychological and legal consultations
/ Maternity & paternity leave support

**Personal and professional development:**
/ Internal workshops & learning initiatives
/ English language classes compensation
/ Professional certifications reimbursement
/ Participation in professional local & global communities
/ Growth Framework to manage expectations and define the steps to move towards the selected career
/ Mentoring program with the ability to become a mentor or a mentee to grow to a higher position

Valtech Ukraine has a system of progressive benefits packages in place — the longer you stay with the company — the more benefits you get.

For us, at Valtech our main priority has always been people. Valtech has created One Fund to support Ukrainian colleagues who have found their lives turned upside down at these tough times.

You can not only become a part of constant evolution but can lead the change. The more we grow — the more opportunities there are to take responsibility, implement your creative ideas, be the innovator and driver rather than the task executor.

**Say hello to your future. Apply!**