{"id":2265409,"url":"https://alion.io/job/ascend-hr-data-analyst-mlai-expert","title":"Data Analyst & ML/AI Expert","company":{"id":4402646,"name":"Ascend HR","domain":"ascendhr.io","url":"https://alion.io/company/ascend-hr","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":160000,"period":"year","method":"global_role_seniority_cell","sample_n":2647},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Django","optional":false},{"name":"Flask","optional":false},{"name":"Machine Learning","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"AWS","optional":true},{"name":"C#","optional":true},{"name":"C++","optional":true},{"name":"CMake","optional":true},{"name":"Java","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-10-11T02:12:56Z","employer_posted_date":null,"last_verified_at":"2026-10-11T02:12:56Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job DescriptionWe are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing company data. The ideal candidate should be adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. He/She must possess strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/She must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.\nResponsibilities\nAt least 5 years of experience leading teams or large projects with research experience in AI, Machine learning, Deep learning, Analytics, Optimisation, IoT, and Automation\n\nSolid experience in building products/product lines\n\nA strong background in Mathematics and building AI algorithms\n\nExtensive experience in processing large scale and complex data specifically for ML/DS/AI projects\n\nStatistical Modelling of Data\n\nUnderstanding of ML life cycle, including,training, testing, validating ,deploying and updating of models periodically\n\nAnalyse and improve algorithms to meet the demand of customers and sustain the market edge in AI/ML\n\nSupport Internal and External Clients with the understanding of Data Science design and methodology\n\nTranslate business requirements into technical requirements\n\nWork with the C-Suite to define clear priorities and communicate it to the functional teams for design, development and production roll out\n\nWork with stakeholders to identify opportunities for leveraging the company’s AI to drive business solutions\n\nBuilding tools to help businesses derive the maximum insights from data\n\nSuccessfully identify and develop emergent technologies to lead the path for future programs in AI and R&D to align required capabilities for multiple projects and business requirements\n\nDeveloping and mentoring teams of R&D scientists and software engineers towards our common goal of creating better experience\n\nSolid written and verbal communication skills to document and explain complex systems\n\nDemonstrated deep domain knowledge in research and development of advanced AI/ML applications\n\nExperience with Supervised, unsupervised machine learning, regression,classification, time series analysis\n\nUnderstanding creation of business values from data\n\nModel deployment and serving using Flask,Django, web services\n\nGood to have Skillset\nExperience with Pandas, Scikit-Learn, boosted trees, Pytorch, Tensorflow\n\nDockers knowledge\n\nAWS* Micro services development\n\nJava/C#\n\nRnD and publications\n\nKnowledge of Python, C/C++, Linux, Windows, CMake, QT creator, VS-Studio, Pycharm, Spyder\n\nOriginally posted on Himalayas","description_format":"text","description_chars":3079,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T06:15:21Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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