{"id":2688484,"url":"https://alion.io/job/mphasis-senior-data-scientist-2","title":"Senior Data Scientist","company":{"id":59446,"name":"Mphasis","domain":"mphasis.com","url":"https://alion.io/company/mphasis","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","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":["Calgary, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":92000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":66},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Hadoop","optional":true},{"name":"NLP","optional":true},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T17:15:01Z","board_verified":false,"closed_at":"2026-10-16T17:15:01Z","days_open":29,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":29},"description":"Job Title: Senior Data Scientist\nRemoteJob Summary: We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team at Mph Canada First Tower. The ideal candidate will possess strong knowledge in data science methodologies and techniques, with a proven ability to analyze complex data sets and derive actionable insights. This role is critical in driving data-driven decision-making across the organization. Responsibilities:Develop and implement advanced analytical models to solve business problems and enhance operational efficiency.Collaborate with cross-functional teams to identify data needs and provide insights that support strategic initiatives.Utilize statistical analysis and machine learning techniques to interpret and analyze large data sets.Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.Continuously monitor and improve data quality and integrity across various data sources.Stay updated with the latest industry trends and technologies in data science and analytics.Mentor and guide junior data scientists and analysts in best practices and methodologies.Mandatory Skills:Strong knowledge of data science principles, including statistical analysis, machine learning, and data mining.Proficiency in programming languages such as Python or R for data analysis and model development.Experience with data visualization tools (e.g., Tableau, Power BI) to present data insights effectively.Solid understanding of database management and querying languages (e.g., SQL).Ability to work with large datasets and perform data wrangling and preprocessing.Excellent problem-solving skills and a strong analytical mindset.Preferred Skills:Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).\nExperience in deploying machine learning models in production environments.\nKnowledge of natural language processing (NLP) techniques.\nUnderstanding of business intelligence concepts and tools.\nStrong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.\nQualifications:\nBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; a Master's degree is preferred.\nDemonstrated ability to work independently and collaboratively in a fast-paced environment.\nStrong attention to detail and a commitment to delivering high-quality results.\nAbout Mphasis:\nMphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.\nEqual Opportunity Employer:Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.\nMphasis is committed to providing reasonable accommodations to individuals with disabilities. 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