{"id":2318934,"url":"https://alion.io/job/g42-senior-applied-scientist-3","title":"Senior Applied Scientist","company":{"id":190,"name":"G42","domain":"g42.ai","url":"https://alion.io/company/g42","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0.2,"time_to_fill_p50_days":15,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abu Dhabi, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":106000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-11T00:00:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-21T06:30:34Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Overview:\nLooking for an astute, insightful and innovative Senior Applied Scientist to lead and execute data analytics and business intelligence projects for G42's diverse clients, leveraging AI-driven solutions to address their unique challenges and opportunities. You will be responsible for developing and implementing cutting-edge data analysis models, creating data visualizations, and providing strategic recommendations to clients across multiple industry verticals.\nResponsibilities:\n'Functional: \n- Lead and participate in end-to-end data analytics and business intelligence projects, from data collection and preprocessing to modeling, analysis, and reporting, employing statistical methods, machine learning algorithms, and data mining techniques.\n- Collaborate with cross-functional teams to understand client requirements, design solutions, and deliver actionable insights.\n- Develop and maintain scalable data pipelines and analytics infrastructure for efficient data processing and analysis.\n- Design and develop AI models for predictive analytics, anomaly detection, and pattern recognition.\n- Collaborate with clients to identify business objectives and translate them into data analysis and reporting requirements.\n- Create and maintain dashboards and reports to visualize and communicate data-driven insights.\n- Ensure data quality and accuracy by implementing data cleansing, transformation, and validation processes.\n-vContinuously evaluate and enhance data analytics processes, tools, and techniques to optimize efficiency and effectiveness.\n- Present findings and recommendations to clients in a clear and understandable manner, tailoring communication to various stakeholders.\nQualifications:\nTo qualify, you must have:\n- A Ph.D. or Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline.\n- Minimum of 7 years of experience in data analytics, business intelligence, or related roles, with a strong background in AI and machine learning applications.\n- Proficiency in programming languages such as Python and R, as well as data analysis libraries (e.g., Pandas, NumPy, Scikit-Learn).\n- Hands-on experience with data visualization tools (e.g., Tableau, Power BI) and database management systems (e.g., SQL).\n- Experience in working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.\nIdeally, you'll also need:\n- Strong problem-solving skills and the ability to work with complex, large-scale datasets.\n- Excellent communication skills to effectively convey technical findings and insights to non-technical stakeholders.\n- Strong project management and leadership skills to guide interdisciplinary teams and drive project success.\n- Exceptional teamwork and interpersonal skills to foster collaboration and maintain strong client 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