Data Scientist Jobs in Dartmouth, Nova Scotia, Canada
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Dartmouth, Nova Scotia, Canada
About the role
Data Scientist – Job Description (10+ Years Experience)
Job Title: Data Scientist
Experience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics
Location : Canada
Role Summary
We are seeking a Data Scientist with strong experience in machine learning, statistical modeling, data analysis, and cloud-based data solutions. The ideal candidate will work closely with cross‑functional stakeholders to design, develop, deploy, and optimize data‑driven solutions that drive business impact, improve user experience, and support informed decision‑making.
Key Responsibilities
Design, develop, and deploy machine learning and predictive models to solve business problems such as personalization, forecasting, anomaly detection, and classification Perform data exploration, feature engineering, and statistical analysis on large and complex datasets Build and maintain end‑to‑end ML pipelines, including training, deployment, monitoring, and performance optimization Collaborate with product, engineering, marketing, and business stakeholders to translate requirements into data solutions Conduct A/B testing and experimentation to evaluate model effectiveness and product features Develop dashboards and reports to communicate insights, KPIs, and model outcomes to technical and non‑technical audiences Optimize data workflows using SQL, ETL processes, and cloud services Contribute to data quality, governance, and best practices Mentor junior data scientists and contribute to technical knowledge sharing within the team
Required Technical Skills
Programming & Data
Python (Pandas, NumPy, SciPy, Statsmodels) SQL R (working knowledge) Git / Version Control
Machine Learning & AI
Supervised and unsupervised learning techniques Deep Learning frameworks (PyTorch, TensorFlow, Keras) Predictive modeling, classification, regression, time‑series analysis Feature engineering and model evaluation Computer Vision and NLP exposure (including LLM‑based prototypes)
Data Visualization & BI
Power BI Tableau Data visualization libraries (Matplotlib, Seaborn, Plotly)
Cloud & Big Data
AWS (SageMaker, S3, Lambda, Glue, IAM) Spark / Databricks MLOps tools (MLflow, CI/CD pipelines for ML)
Tools & Platforms
Databricks Streamlit Jira Excel / PowerPoint / SharePoint
Required Qualifications
Bachelor’s degree in Computer Engineering, Electrical Engineering, Data Science, or related field Master’s degree in Data Science, Analytics, or a related discipline is preferred 5+ years of hands‑on experience in data science, machine learning, or advanced analytics roles Strong communication skills with the ability to present insights to senior stakeholders
Nice to Have
Experience with personalization and recommendation systems Experience in revenue, marketing, or user‑behavior analytics Exposure to real‑time or streaming data solutions Experience mentoring or leading junior team members
Not the right fit? Search for Data Scientist jobs in Toronto, Ontario, Canada
About Mphasis
A leading applied technology services company, we innovate to deliver service excellence and successful outcomes across sales, delivery and development. With our strategy to be agile, nimble and customer-centric, we anticipate the future of applied technology and predict tomorrow’s trends to keep our clients at the summit in an ever-changing marketplace. Leading with architecture and design, our next-gen solutions enable enterprises to accelerate on their digital transformation journey.
Customer centricity is foundational to us and is reflected in the Mphasis’ Front2Back™ (F2B) transformation approach. F2B is a customer-in view approach that uses our industry-specific X2C2TM framework, and harnesses the power of cognitive technologies and rich data resident in enterprises to transform them. It is a way to introduce disruptive technology to smartly transform legacy environments. . 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. Click here to know more
Mphasis Presents #HowGeekAreYou Passion, Perseverance, Perfection – we are defined by these three words. Relentless in our pursuit of knowledge, we believe in accepting the difference and defining the 'new normal', staying true to our vision and values. We believe in growth by knowledge, responsibility by authority and freedom by flexibility.
Be a part of a place where ideas are celebrated and perseverance is worshiped. Our doors are wide open, and breakthrough ideas are welcome from anyone. But we have a question to ask before we let you in: How Geek Are You? Click here to know more.