We are looking for an Expert Data Scientist (Adobe Practice) who will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions.
Work at Exadel - Who We Are
Since 1998, Exadel has been engineering its products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel has 2,800+ employees in development centers across America, Europe, and Asia. Our people drive Exadel’s success and are at the core of our values.
About the Customer
The global leader in customer intelligence and stands at the forefront of AI-enabled, data-driven marketing. The client specializes in high-performance solutions that boost customer acquisition and retention while fueling growth for the world's biggest brands and agencies. They transform omnichannel marketing strategies and execution using our AI-powered data and identity foundation, cloud-based data management, and martech and analytics services.
Requirements
- Bachelor’s Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work background OR Master’s Degree in a quantitative field and relevant work experience
- Expert-level experience with Adobe’s analytics tools (e.g., Adobe Journey Analytics) and third-party SaaS tools (e.g., Databricks, R)
- Practice in applying statistics and data science tools on large datasets
- Knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques
- Specialization in Generative AI
- Expertise at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches
- Skills in data preparation (normalization, scaling, etc.) for modeling
- Proficiency in Python/R, APIs, Excel, LLMs, SQL, and Power Automate
- Exposure to Spark/PySpark systems in a distributed computing environment
- SQL mastery, including techniques for writing efficient code over large datasets
- Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models
- Excel at handling both structured and unstructured data
- Analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry
- Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines
English level
Intermediate+
Responsibilities
- Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products
- Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis
- Build, evaluate, and optimize models that incorporate machine learning, artificial intelligence, and Generative AI
- Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue
- Collaborate with other data scientists and team leads to define project requirements, including data sources, algorithms, and implementation
- Build expert knowledge of the various data sources brought together for audience segmentation solutions – survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data
- Work with Product and Engineering teams to transition development projects to production systems
- Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences
- Provide mentorship and guidance to data scientists where necessary
Advantages of Working with Exadel
Transparent Career Roadmap
- Your career growth is in your hands, so each Exadeller decides when to level up and initiate performance assessments
- The employee has a formal salary review once a year
Learning & Development Opportunities
- We believe in nurturing talent and fostering growth. That's why we budget every year for your continuous learning journey. From professional development courses to books and certification, we're invested in your success
- Polish language lessons with a native speaker are fully covered, and English lessons for $2 gross per lesson are available for Exadel language learners
- Every specialist gets free access to the Coursera Education platform
Work-Life Balance
- Operating from the office or remotely is an employee's choice. Hybrid or remote employees will receive all necessary equipment at their home addresses before their first working day. The office network in Warsaw, Gdansk, Szczecin, Bialystok, Krakow, and Lublin, is open daily for those who prefer to work in the office
- The team meets at two annual team-building events across locations; in addition, there are team events such as Pizza Days, Programmer’s Day, informal meetups, board game parties, and sports initiatives
Employee’s Perks & Bonuses
- Exadellers have access to Worksmile platforms with a 220 PLN voucher for Multisport compensation, medical insurance packages in Luxmed or Medicover centers, and online stores and services
- We understand the importance of balancing work and personal life. Exadellers who take 14 vacation calendar days or more receive a gross extra payment of 1,550 PLN. In case of childbirth, the employee receives a 2,000 PLN bonus, gross
- The Exadel referral program involves recognition for hired recommended professionals. Depending on the position of the hired recommended candidate, each employee receives a gross monetary bonus from 1,000 PLN to 6,500 PLN
