Data Science Analyst

Mississauga, ONTARIO, CA • Posted 10 hours ago • Updated 10 hours ago
Contract W2
Contract Independent
Contract Corp To Corp
On-site
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Fitment

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Job Details

Skills

  • Data Cleansing
  • Partnership
  • Development Testing
  • Training
  • Performance Appraisal
  • Collaboration
  • Deep Learning
  • Large Language Models (LLMs)
  • Computer Science
  • Statistics
  • Mathematics
  • Data Science
  • Advanced Analytics
  • Python
  • SQL
  • PySpark
  • TensorFlow
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Communication
  • Machine Learning (ML)
  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • Apache Hadoop
  • Apache Hive
  • Apache Spark
  • Cloud Computing
  • Analytics
  • Banking
  • Retail
  • Risk Management
  • Financial Services
  • Capital Market
  • Finance
  • Modeling
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Science Analyst for a right to hire assignment with one of our premier financial services clients in Mississauga, ON .

Responsibilities :
  • Analyze large structured and unstructured datasets to identify trends, patterns, and business insights.
  • Perform data cleansing, transformation, and feature engineering to support model development.
  • Develop, test, and maintain predictive and prescriptive models using statistical and machine learning techniques.
  • Support the deployment of analytical solutions into production environments in partnership with technology teams.
  • Contribute to the implementation of machine learning lifecycle processes, including development, testing, training, monitoring, and performance evaluation.
  • Collaborate with business, technology, and risk partners to understand requirements and translate them into analytical solutions.
  • Document methodologies, assumptions, and model results to support governance and review processes.
  • Present analytical findings and project updates to team members and stakeholders.
  • Continuously learn and apply emerging techniques in Machine Learning, Deep Learning, Large Language Models (LLMs), and Generative AI.
Required Skills :
  • Bachelor's degree/University degree or equivalent experience in a STEM-related field.
  • Master's degree or Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 5+ years of experience in data science, machine learning, advanced analytics, or a related field.
  • Experience developing and evaluating machine learning models.
  • Working knowledge of ML/DL techniques and model development processes.
  • Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or similar analytical and model-building tools.
  • Familiarity with LLMs and GenAI technologies.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating effectively within cross-functional teams.
Preferred Skills :
  • Advanced degree preferred.
  • Experience supporting ML, AI, or GenAI initiatives in a production environment.
  • Familiarity with distributed data and computing platforms such as Hadoop, Hive, Spark, or cloud-based analytics platforms.
  • Exposure to banking, Retail Risk management, or financial services.
  • Basic understanding of capital markets, financial instruments, and quantitative modeling concepts.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sgainc
  • Position Id: 26-01747
  • Posted 10 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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