{"id":3142988,"url":"https://alion.io/job/tiktak-data-science-professional","title":"Data Science Professional","company":{"id":4418169,"name":"TikTak","domain":"tiktakkirala.com","url":"https://alion.io/company/tiktakkirala","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Istanbul, Turkey"],"countries":["TR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":106000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":935},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Computer Vision","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-23T08:42:51Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T17:11:06Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Are you ready to join the exciting journey of TikTak, leading car solution provider that revolutionizes the mobility habit of mega urbanites?\nTikTak is Turkey's youngest and fastest-growing car rental & sharing company.\nWe know the city is full of opportunity, full of excitement, full of life.\nFor this reason; We are highlighting TikTak as a solution resource in order not to miss a moment in this wide experience pool. We are the new generation transportation brand for the new generation of urban residents, and we are a reason for the city to be experienced to the fullest. TikTak is the shortest way to get from home to work, from campus to concert.\nThe city is bustling and lively, just like us. In this direction, our goal is to be an important part of daily mobility in city life.\nOur goal is also about freedom, innovation, and dynamism. Our work environment is a dynamic environment that supports innovation, where everyone can contribute with their ideas.\nWe are looking for a Data Science Professional\nfor our rapidly growing teams in this environment.\nYour playground as a Data Science Professional at TikTak\nSolving real-world business challenges using data from our app, vehicle telematics devices, and field operations.\nDeveloping optimization models for vehicle allocation and routing, considering real operational constraints and delivering actionable plans for field teams.\nBuilding time series forecasting models to predict demand across different time periods and locations, including sparse data and strong seasonality.\nDesigning anomaly detection models to identify unusual patterns in streaming sensor and operational data, and determine which signals require alerts.\nDeveloping classification models for risk and propensity prediction using tabular data, as well as image classification.\nCollaborating with business teams to define problems, success metrics, and expected outcomes before model development.\nBuilding scalable models using Python and SQL on AWS infrastructure (Redshift, S3, Airflow, Kinesis, Druid).\nPartnering with data engineers to deploy models into production through Airflow jobs or services, ensuring continuous monitoring and reliability.\nMeasuring model impact against baselines or control groups, tracking business KPIs, and continuously improving models after deployment.\nOur game-changer Data Science Professional profile at TikTak\n3+ years of experience in Data Science or Machine Learning Engineering, with hands-on experience deploying and maintaining at least one production model.\nBachelor's degree in Computer Science, Statistics, Industrial Engineering, or a related quantitative field.\nStrong proficiency in Python, SQL, and statistical methods.\nSolid experience in at least two of the following areas: optimization, time series forecasting, anomaly detection, and classification.\nHands-on experience with classical machine learning techniques for tabular and time series data (e.g., gradient boosting), including time-based validation and data leakage prevention.\nAbility to translate business challenges into measurable data science solutions and demonstrate impact through financial outcomes or KPIs.\nExperience with AWS services (SageMaker, Lambda), Docker, and CI/CD is a plus.\nFamiliarity with optimization solvers such as OR-Tools is a plus.\nExperience working with geospatial and real-time data technologies (H3, GPS, Kinesis, Druid) is a plus.\nKnowledge of computer vision applications, particularly vehicle damage detection and classification (e.g., scratches vs. dents), is a plus.\nExperience building solutions with LLMs and Generative AI (LLM APIs, RAG, agent workflows), especially for operational use cases, is a plus.\nPrevious experience in car sharing, ride hailing, mobility, or logistics industries is a plus.\nThe benefits of TikTak offer you\nTikTak+ Budget\nHoliday Budget\nStock Options Based on Company Alignment and Performance\nSalary Bonus\nMobility Budget\n20 Days of Annual Leave\nPrivate Health Insurance","description_format":"text","description_chars":3987,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Health insurance","Stock options"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-23T09:10:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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