{"id":548294,"url":"https://alion.io/job/incubeta-senior-data-scientist","title":"Senior Data Scientist","company":{"id":449856,"name":"Incubeta","domain":"incubeta.com","url":"https://alion.io/company/incubeta-3","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":81,"open_postings":12,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Cape Town, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":63000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Gmail","optional":false},{"name":"GMP","optional":false},{"name":"Google Docs","optional":false},{"name":"Google Sheets","optional":false},{"name":"Google Workspace","optional":false},{"name":"Machine Learning","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2025-03-31T05:05:03Z","employer_posted_date":"2025-03-31","last_verified_at":"2026-10-29T01:21:55Z","board_verified":true,"closed_at":null,"days_open":576,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":575},"description":"As a Senior Data Scientist within our Marketing Intelligence team, you will play a key role in the development and implementation of advanced data services and solutions, leveraging machine learning (ML) and artificial intelligence (AI) to drive profitability and value for our clients. You will possess a deep understanding of data science principles, advanced analytics techniques, and machine learning engineering and be proficient in utilising a range of programming languages, tools and machine learning frameworks\nYou will be required to collaborate effectively with cross-functional teams - including internal & external stakeholders - to understand clients' data needs and translate them into effective technical solutions. They will lead on advanced data projects, and develop data science approaches that can be adopted across the team.\nYour achievements will lead to recognition as a thought leader, actively contributing to the company's reputation and brand through your expertise and insights.\nKey Responsibilities\nYour tasks and responsibilities will include but are not limited to:\nApply advanced statistical modeling and techniques to solve complex business challenges. \nDevelop and implement advanced data solutions using machine learning (ML) and artificial intelligence (AI) to drive profitability and value for clients. \nDesign and build machine learning pipelines and models, optimising their performance and efficiency\nDevelop and maintain machine learning infrastructure.\nTrack and document model lineage, model versioning and model transitioning.\nIndependently design experiments, build algorithms, and apply machine learning tools to manage, interrogate, and extract value from large data sets for the benefit of media & digital marketing strategy\nLead advanced data projects and develop data science approaches that can be adopted across the team. \nDemonstrate a willingness to learn and teach. Provide technical guidance and mentorship to junior data scientists, fostering their growth and ensuring the quality of their work. \nCollaborate effectively with cross-functional teams, including internal & external stakeholders, to understand clients' data needs and translate them into effective technical solutions. \nProactively share information on the latest updates, new products, and evolving processes with the team. \nDemonstrate data knowledge and expertise through training materials and address clients' data challenges in senior-level discussions. \nLead training sessions & workshops with clients on technical data topics within your expertise. \nCultivate a strong relationship with clients and suppliers, which results in Incubeta being seen as a trusted partner and technical expert in the solutions offered. \nDeliver code and solutions that are well documented and understandable by other data scientists. \nTake responsibility for security in PII data, code management, and deployment. \nProactively identify improvement opportunities for existing and new solutions across the business based on GP opportunity, customer feedback and industry needs.\nImprove on modeling techniques in our existing solutions and suggest new products through learning and development\nKPI & Performance Management\nAchieve utilisation and GP targets.\nAchieve 100% success criteria within assigned tasks, or with justifiable rationale shared in advance where not achieved.\nAchieve 100% of deadlines within assigned tasks, or with justifiable rationale shared in advance where not achieved.\nReceive consistently positive client feedback in post-project reviews and post-training reviews.\nPlace within Organisation\nThe Senior Data Scientist reports directly to the EMEA Director of Data Science. This role is based in our Cape Town office and operates within the EMEA Marketing Intelligence team. You will be an integral part of a dynamic and collaborative team, working alongside marketing intelligence professionals across EMEA, including:\nData Analysts\nData Engineers\nAnalytics Implementation Specialists\nData & Analytics Consultants\nTechnical Project Managers\nYou will also collaborate closely with:\nIn-market teams in Cape Town, across various disciplines\nCommercial & client service teams across EMEA\nOperations personnel\nOther marketing intelligence resources globally\nQualifications and Skills\nIn order to successfully perform this role, you will need the following hard and soft skills:\nHard Skills\n8+ years of experience in data science, with a focus on machine learning, artificial intelligence, and advanced analytics.\nAdvanced expertise in data analysis, statistical modeling, and developing machine learning models for analysis and predictions\nExperience in designing and building machine learning pipelines and deploying ML models to production environments.\nAn expert in programming languages SQL, Python, R \nAdvanced experience with cloud platforms GCP (Essential), AWS, Azure (Advantageous) and cloud based ML services (e.g. Vertex AI).\nDemonstrable competency in propensity modelling, churn analysis, causal impact analysis, pLTV and MMM\nFamiliarity with ML frameworks like TensorFlow, PyTorch, scikit-learn, and others\nExperience in pipeline orchestration tools such as Dataform, DBT and Apache Airflow\nExperience in developing and implementing advanced measurement solutions for digital marketing activation including MMM, Incrementality Testing, Causal impact Analysis & Attribution modelling\nExperience in customer and audience modelling solutions including propensity modelling, predictive lifetime value, churn analysis or similar\nKnowledge of industry trends and the ability to apply this knowledge to technical client solutions.\nUnderstanding of Analytics platforms & impact of data within - in particular Google Analytics 4\nKnowledge of Key Metrics and Dimensions for GMP Platforms (DV360, CM360, SA360), Google Ads and Facebook \nKnowledge of Digital Media Strategy\nCan confidently deal with breadth of enquiries around analytics & data\nSkilled in utilising Google Workspace for communication, presentations and reporting (e.g. Gmail, Google Slides, Google Docs, Google Sheets)\nGoogle Cloud Platform certified (Advantageous)\nETL tooling experience (FiveTran, Supermetrics) (Advantageous)\nSoft Skills\nExcellent communication and presentation skills\nDemonstrable expertise in strong client relationship management, and experience of building and managing key partner relationships\nStrong technical storyteller - able to turn complex technical concepts into simple and easy to understand concepts for both internal teams and clients\nExcellent problem-solving abilities\nAbility to work in a fast paced, dynamic, pro-learning environment on multiple priorities simultaneously\nRelentless enthusiasm and highly reliable\nAccountable, driven, and proactive in development and making progress\nDisplay a hunger for knowledge and a willingness to learn for any situation\nAbility to think and act independently as well as collaboratively\nCan establish influential relationships with both internal and external stakeholders\nExceptional attention to detail and pride in any work produced\nStrong ability to prioritise and manage own time as well as assisting teams where needed\nDisplay honesty and integrity at all times\nAccountable for actions even when making mistakes\nOrganised and detail oriented\nBe approachable and open to constructive feedback\nIncubeta Company Values:\nEarn Trust: Focused on maintaining and increasing customer focus, works with the customer in mind earning trust along each step with clients and colleagues\n Help Others Succeed: Makes an active contribution to a joint result (organizational target) or to resolving problems or conflicts. Think in terms of possibilities. Is able to solve issues and problems in a timely and effective manner, working as a team.\nDare to Lead: Is willing to improve individual performance and stimulate others to act accordingly. Setting the standard and example. Being solution driven.\nExceed Expectations: Carries out tasks without help from others; takes command of problem situations and aims to achieve more than the basic requirements\nEqual Opportunity Employer:\nIncubeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.\nApplication Process:\nIf you feel you meet the criteria please kindly submit your resume, cover letter, and portfolio of relevant work. 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