{"id":2807579,"url":"https://alion.io/job/padran-senior-data-scientist","title":"Senior Data Scientist","company":{"id":4445895,"name":"Padran","domain":"padran.com","url":"https://alion.io/company/padran","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Talentics","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":51000,"max_usd":131000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-18T07:33:50Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-18T07:33:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"As Padran Information Technologies, we are looking for teammates who are focused on growth and success! In this position, you will work for our clients that we provide consultancy and you will take part in projects in Turkey's leading companies.\nWe are looking for a Senior Data Scientist who meets the following qualifications for our consulting business partner.\nEducation & Experience Requirements:\nBachelor’s or Master’s in Data Science, Statistics, Engineering, Computer Science, or a related field.\n4+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.\nTechnical Skills & Expertise:\nProficiency in Python for data manipulation, analysis, and model development.\nTime Series Modeling: Proficiency with ARIMA, LSTM, Transformer-based architectures, and anomaly detection models for time series data.\nSensor Data Expertise: Hands-on experience working with high-frequency, irregularly sampled data from sensors.\nManufacturing & Industrial Sensor Data: Familiarity with data originating from IoT devices, PLCs (Programmable Logic Controllers), SCADA systems, or similar sources.\nData Processing: Skilled in processing, cleaning, and analyzing machine-generated data such as vibration, temperature, and pressure measurements.\nApplication Areas: Practical experience in predictive maintenance, anomaly detection, or process optimization projects.\nFamiliarity with database systems, data lakes, and warehousing solutions.\nProficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.\nPrior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.\nKnowledge of edge computing and IoT integration for smart factories is a plus.\nStrong understanding of business processes and the application of advanced analytics to solve industry-specific problems.\nVerbal and written communication skills in English.\nJob Responsibilities:\nDesign, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.\nImplement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.\nDevelop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.\nApply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.\nOversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.\nUtilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.\nImplement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.\nCollaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.\nCommunicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.\n\nWhy Padran Information Technologies?\n- Opportunity to work with leading companies in Turkey\n- Opportunity to use industry-leading technologies with our business partners Microsoft, IBM, AWS and Open Text\n- Career development and certification opportunities as an ISTQB accredited training center","description_format":"text","description_chars":3491,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All 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