{"id":3382861,"url":"https://alion.io/job/abacus-consulting-sr-data-scientist","title":"Sr. Data Scientist","company":{"id":62240,"name":"Abacus Consulting","domain":"abacus-global.com","url":"https://alion.io/company/abacus-consulting","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PK"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":195000,"period":"year","method":"global_role_seniority_cell","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-04T11:54:10Z","employer_posted_date":null,"last_verified_at":"2026-09-04T11:54:10Z","board_verified":false,"closed_at":null,"days_open":57,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":57},"description":"JOB DESCRIPTIONAbacus| Senior Data Scientist \nWHO WE AREAt Abacus, we specialize in technology, outsourcing, and people solutions, bringing nearly 40 years of experience shaped alongside the organizations we support. As a global professional services leader, our focus remains on providing bespoke solutions that enable organizations to create the future of business and embrace change for sustainable growth, powered by a global team of over 5,000 people.\nWHAT WE DOAcross digital transformation, emerging technologies, SAP enterprise solutions, outsourcing, and human capital, we support organizations in building environments that operate effectively and scale with the business. Today, this extends to more than 1,500 enterprise clients, where the focus remains on creating systems that are not only functional, but ready to adapt and evolve over time.\nPOSITION OVERVIEWWe are seeking an experienced and highly skilled Senior Data Scientist/Engineer to join our team. The ideal candidate will have a robust background in data science and engineering, a proven track record of working with large datasets, and the ability to lead projects and mentor junior team members.\nKEY RESPONSIBILITIESData Analysis and Interpretation:Analyze and interpret complex datasets to uncover trends, patterns, and actionable insights.\nDevelop and implement advanced statistical models and machine learning algorithms to solve business problems.\nData Engineering:Design, develop, and maintain scalable data pipelines and architectures.\nEnsure data quality, integrity, and security across various sources.\nOptimize data storage solutions for efficiency and performance.\nProject Leadership:Lead data science and engineering projects from conception to deployment.\nCoordinate with cross-functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery.\nDefine project scope, goals, and deliverables that support business objectives.\nMentorship and Collaboration:Mentor and provide guidance to junior data scientists and engineers.\nFoster a collaborative and innovative team environment.\nCommunicate complex technical concepts and insights to non-technical stakeholders.\nResearch and Development:Stay current with the latest advancements in data science, engineering, and machine learning.\nExperiment with new tools, techniques, and technologies to continuously improve data processes and analytics.\nDeployment and Maintenance:Deploy and monitor machine learning models in production environments.\nContinuously improve and maintain existing data models and infrastructure.\nImplement best practices for model management and version control.\nQualifications:Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field.\nExperience:5+ years of experience in data science, data engineering, or a related field.\nProven experience leading data projects and managing teams.\nExtensive experience with data analysis, statistical modeling, and machine learning.\nTechnical Skills:Proficiency in programming languages such as Python, R, or Scala.\nExpertise in data processing frameworks like Apache Spark, Hadoop, or similar.\nStrong SQL skills and experience with relational and NoSQL databases.\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud.\nAdvanced knowledge of data visualization tools like Tableau, Power BI, or similar.\nWHAT WE OFFERCompetitive compensation package commensurate with experience.\nExposure to large-scale, enterprise-grade platform and API projects.\nA collaborative, innovation-driven, and growth-oriented work environment.\nContinuous learning opportunities and access to professional development resources.\nOpportunity to work with a globally recognized professional services leader.\nAbacus | Enabling Organizations to Create the Future of Business\nOriginally posted on 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