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Senior Data Science IRC244433
| Job | IRC244433 |
| Location | Poland - Gdansk, Krakow |
| Designation | Senior Software Engineer |
| Experience | 3-5 years |
| Function | Engineering |
| Skills | Data Science, Data Visualization (Matplotlib, Git, Python, Python (pandas and Numpy), PyTorch, SQL, Unit testing using pytest framework |
| Work Model: | On-Site/Office |
Description
Choreograph is looking for a Data Scientist to support the development and delivery of the data enrichment product capabilities of the company. You will collaborate with the members of the London team to help improve and enrich data and additional offerings.
About Choreograph:
We like to say that we play with giants. That’s huge data sets, influential partners, and even bigger ambitions. But only because we’re here to make a difference. As WPP’s division, our mission is to create products that make advertising work better for people. With expertise in data science, audience insights, simulations, and automation, our 350-person strong team designs and builds software products that shape the global media ecosystem. With a partnership philosophy at the heart of everything we do, we team up with the world’s leading media and technology organizations — including Adobe, Amazon, Baidu, The Trade Desk, Google — to develop innovative solutions and bring a unique competitive advantage to our portfolio of clients.
GroupM and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the more great work we can create together.
Requirements
- 3+ years of experience analyzing & modeling large volumes of data using tools like Pandas, NumPy, SciPy, Matplotlib, ScikitLearn, Pytorch
- Proficiency in Python and strong software engineering practices such as version control (Git), collaborative development (GitLab), clean code writing and comprehensive testing (unit & integration tests eg with pytest & pylint), logging & production monitoring, and familiarity with CI/CD pipelines.
- Experienced in model fitting and forecasting using techniques like logistic regression, KNN, random forest, XGBoost, autoencoders
- Excellent analytical skills with an interest in applying them to complex problems
- Familiarity with SQL for data extraction and manipulation
- Familiarity with big data technologies such as Snowflake and Apache Spark (PySpark)
- Knowledge of cloud platforms (eg GCP) for deploying machine learning models
- Knowledge of containerization technologies like Docker and orchestration with Kubernetes
- Familiarity with MLOps practices and tools like Kubeflow
- Familiarity with developing RESTful APIs for model deployment using frameworks like Flask or FastAPI
- Understanding of data privacy and security best practices
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
- Upper-intermediate English proficiency
- Experience with Agile methodologies and project management tools like Jira
Preferences
#LI-OK4
Job Responsibilities
- The candidate will work on one of the Data products helping to develop data processing components for the currently built data pipeline. Work with London (PO, Data Scientists) and Ukraine teams
- The candidate will work in 2 teams, Data and Dev team. The Dev is dedicated to helping with software engineering aspects for the pipeline.
- The candidate will help with building Python elements of the pipeline. Datasets will have in total a few GB of data per quarter. There are multiple pipeline components at various stages of development, such as QA checks, reporting, dashboard data preparation, adding additional aggregated variables, and data ascription.
- The candidate will communicate delivery requirements with the Data team and engineering details with the Dev team.
- The candidate is expected to have strong pandas and python data wrangling skills and an understanding of general software engineering practices including coding, documentation, and software versioning.
We Offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.