Star

We are looking for you!

We are seeking a Senior Data Scientist to drive the next generation of data-driven solutions. This role calls for deep expertise in data architecture, advanced analytics, and pipeline design. If you are a seasoned professional ready to lead initiatives, innovate with cutting-edge techniques, and deliver impactful data solutions, we’d be excited to have you join our journey.

Contract type: Gig contract
 

Skills and experience you can bring to this role

Qualifications & experience:

• At least 3 years of commercial experience with Python, Data Stack (NumPy, Pandas, scikit-learn) and web stack (Fast API / Flask / Django);
• Familiarity with one or more machine learning frameworks (XGBoost, TensorFlow, PyTorch);
• Strong mathematical and statistical skills;
• Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
• Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
• Knowledge of Amazon Web Services (AWS) ecosystem (S3, Glue, Athena);
• Experience with at least one MMM or marketing analytics framework (e.g., Robyn, PyMC Merydian or similar);
• Strong communication skills to explain technical insights to non-technical stakeholders.

Nice to have:

• Knowledge of digital advertising platforms (Google Ads, DV360, Meta, Amazon, etc.) and campaign performance metrics;
• Exposure to clean rooms (Google Ads Data Hub, Amazon Marketing Cloud);
• Familiarity with industry and syndicated data sources (Nielsen, Kantar etc);
• Experience with optimisation techniques (budget allocation, constrained optimisation);
• Familiarity with gen AI (ChatGPT APIs/agents, prompt engineering, RAG, vector databases). 

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred. A Master's degree or higher is a distinct advantage.

What impact you’ll make 

• Build and validate marketing measurement models (e.g., MMM, attribution) to understand the impact of media spend on business outcomes;
• Develop and maintain data pipelines and transformations to prepare campaign, performance, and contextual data for modelling;
• Run exploratory analyses to uncover trends, correlations, and drivers of campaign performance;
• Support the design of budget optimisation and scenario planning tools;
• Collaborate with engineers, analysts, and planners to operationalise models into workflows and dashboards;
• Translate model outputs into clear, actionable recommendations for client and internal teams.

What you’ll get 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.
 

Star is launching the AI Innovation Hub, an R&D, Design, Engineering, and Scaling powerhouse that will focus on guiding enterprises within the AdTech, HealthTech, Automotive & FinTech spaces on their journey to adopt AI to create new ways of working and disruptive user experiences.

The lab will primarily focus on introducing new AI capabilities to Star's service portfolio, conducting R&D activities to apply AI to the company's internal processes, fostering a community of AI enthusiasts, building collective knowledge and expertise on AI, and collaborating with the commercial organization to promote the service to new and existing clients. 

We are looking for you!

We are looking for an AI Engineer (Research & Development). As an AI Engineer, you will join the R&D team working on AI products and help scale the AI offering through marketing activity.

Skills and experience you can bring to this role!

Qualifications & experience:

• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You understand and can explain how business value could be generated out of the use of AI technologies;
• You have built ML/AI powered solutions and used available services & tools and/or built bespoke ML models/solutions;
• You've investigated the practical application of generative AI/LLMs through pet projects and PoCs, exploring ready-to-go products, and you can demonstrate or discuss the output;
• You have experience in LLMs/SLMs assessment, selection, and fine-tuning for the specific use case;
• You enjoy writing code, preferably in Python and have 3+ years of experience in commercial development;
• You know what prompt engineering, vector databases, embeddings, multi-stage reasoning, RAG, and MLOps are, and you have had a practical (could be non-commercial) experience with some of the listed things;
• You enjoy communication and can talk to both technical and non-technical stakeholders.

Nice to have: 

• You have previous experience in data engineering;
• You are active in the growing AI community, attend webinars, events, and meetups, or are interested in becoming active;
• You have some front-end experience building simple UIs to demonstrate solutions end-to-end or are open to gaining such;
• You are interested in developing a personal brand through participation in content creation in collaboration with marketing & AI Lab.

What impact you’ll make

• Participate in research and development activities by working on Star's internal AI products;
• Create proof of concepts for our clients and prospects, focusing on applying AI technologies;
• Monitor and research changes in the AI developer ecosystem and approaches and apply them in practice to develop Star's AI capabilities;
• Participate in client calls during late sales cycle stages, present technical expertise, and help build solutions; 
• Act as a subject matter expert on AI to assist with Star's marketing and branding efforts.

What you’ll get

Regardless of your position or role, we have in place a wide array of benefits including flexible working (hybrid/remote models) and generous time off policies to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive rewarding and compensation package, intellectually and creatively stimulating space and some more.

Your holistic wellbeing is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for an AI Engineer (Research & Development). As an AI Engineer, you will join the R&D team working on AI products and help scale the AI offering through marketing activity.

Skills and experience you can bring to this role!

Qualifications & experience:

• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You understand and can explain how business value could be generated out of the use of AI technologies;
• You have built ML/AI powered solutions and used available services & tools and/or built bespoke ML models/solutions;
• You've investigated the practical application of generative AI/LLMs through pet projects and PoCs, exploring ready-to-go products, and you can demonstrate or discuss the output;
• You have experience in LLMs/SLMs assessment, selection, and fine-tuning for the specific use case;
• You enjoy writing code, preferably in Python and have 3+ years of experience in commercial development;
• You know what prompt engineering, vector databases, embeddings, multi-stage reasoning, RAG, and MLOps are, and you have had a practical (could be non-commercial) experience with some of the listed things;
• You enjoy communication and can talk to both technical and non-technical stakeholders.

Nice to have: 

• You have previous experience in data engineering;
• You are active in the growing AI community, attend webinars, events, and meetups, or are interested in becoming active;
• You have some front-end experience building simple UIs to demonstrate solutions end-to-end or are open to gaining such;
• You are interested in developing a personal brand through participation in content creation in collaboration with marketing & AI Lab.

What impact you’ll make

• Participate in research and development activities by working on Star's internal AI products;
• Create proof of concepts for our clients and prospects, focusing on applying AI technologies;
• Monitor and research changes in the AI developer ecosystem and approaches and apply them in practice to develop Star's AI capabilities;
• Participate in client calls during late sales cycle stages, present technical expertise, and help build solutions; 
• Act as a subject matter expert on AI to assist with Star's marketing and branding efforts.

We are looking for you!

We are seeking a Data Solutions Architect with deep expertise in data platform design, AdTech systems integration, and data pipeline development for the advertising and media industry. This role requires strong technical knowledge in both real-time and batch data processing, with hands-on experience in building scalable, high-performance data architectures across demand-side and sell-side platforms. 

As a client-facing technical expert, you will play a key role in project delivery, presales process, technical workshops, and project kick-offs, ensuring that our clients receive best-in-class solutions tailored to their business needs. 

Contract type: Gig contract.

Skills and experience you can bring to this role

Qualifications & experience:

• 5+ years of experience in designing and implementing data architectures and pipelines for media and advertising industries  that align with business goals, ensure scalability, security, and performance;
• Hands-on expertise with cloud-native and enterprise data platforms, including Snowflake, Databricks, and cloud-native warehousing solutions like AWS Redshift, Azure Synapse, or Google BigQuery;
• Proficiency in Python, Scala, or Java for building data pipelines and ETL workflows;
• Hands-on experience with data engineering tools and frameworks such as Apache Kafka, Apache Spark, Airflow, dbt, or Flink. Batch and stream processing architecture;
• Experience working with and good understanding of relational and non-relational databases (SQL, NoSQL(document-oriented, key-value, columnar stores, etc.);
• Experience in data modelling: Ability to create conceptual, logical, and physical data models;
• Experience designing solutions for one or more cloud providers (AWS, GCP, Azure) and their data engineering services;
• Experience in client-facing technical roles, including presales, workshops, and solutioning discussions;
• Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders. 

Nice to have:

• Experience working with AI and machine learning teams, integration of ML models into enterprise data pipelines: model fine-tuning, RAG, MLOps, LLMOps;
• Knowledge of privacy-first architectures and data compliance standards in advertising (e.g., GDPR, CCPA);
• Knowledge of data integration tools such as Apache Airflow, Talend, Informatica, and MuleSoft for connecting disparate systems;
• Exposure to real-time bidding (RTB) systems and audience segmentation strategies.

What impact you’ll make 

• Architect and implement end-to-end data solutions for advertising and media clients, integrating with DSPs, SSPs, DMPs, CDPs, and other AdTech systems;
• Design and optimize data platforms, ensuring efficient data ingestion, transformation, and storage for both batch and real-time processing;
• Build scalable, secure, and high-performance data pipelines that handle large-scale structured and unstructured data from multiple sources;
• Work closely with client stakeholders to define technical requirements, guide solution designs, and align data strategies with business goals;
• Lead technical discovery sessions, workshops, and presales engagements, acting as a trusted technical advisor to clients;
• Ensure data governance, security, and compliance best practices are implemented within the data architecture;
• Collaborate with data science and machine learning teams, designing data pipelines that support model training, feature engineering, and analytics workflows.