- Medical Plan Covering Medical, Dental, Vision
- Term and Long-Term Disability Coverage
- Plan with Company match
- Insurance
- Time, Sick Leave, Paid Holidays
- Paternity and Maternity Leave
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Junior Data Scientist - Markham, Canada - LTIMindtree
Description
About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit
Job Title:
Junior Data Scientist
Work Location
Markham, ON, Canada - Hybrid
Job Description:
Data Engineer
Job Description:
Data scientists use statistical methods to collect and organize data.
Problem-solving skills. Data scientists must devise solutions to the problems they encounter in data collection and cleaning and in developing statistical models and algorithms.
Data scientists examine which questions need answering and where to find the related data.
He must possess business acumen and analytical skills as well as the ability to mine, clean, and present data.
Must be hands-on coding capable in at least a core Language skill of Python
Expertise in working with Distributed DW and Cloud Services (like Snowflake, AWS etc.) via scripted pipelines for at least 2-3 years.
Solid grasp of database engineering and design Leveraged frameworks & orchestration as required for ETL pipeline Identify bottlenecks and bugs in the system and develop scalable solutions Unit Test & Document deliverables Capacity to successfully manage a pipeline of duties with minimal supervision.
Experience with AWS suite of Services/Resources
Experience in Agile methodologies (Kanban and SCRUM).
CICD Pipeline Orchestration. Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
Building data pipelines (ETL) and using tools like Apache Spark
Programming Languages - Python, SQL, OOP - Object Oriented Programming
ML Frameworks/Open-Source Libraries - scikit-learn, TensorFlow, PyTorch, Keras and others
• Experience with Data Science Lifecycle - Acquisition, data processing, building models, optimization, deployment and maintenance
Contribute to building advanced analytics, machine learning platform and tools to enable both prediction and optimization of models. Extend existing ML Platform and frameworks for scaling model training & deployment.
Experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
Experience with building data pipelines in getting the data required to build and evaluate ML models
Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
Must have the ability to deal with ambiguity and work in fast paced environment.
Must be familiar with applied data science methods, feature engineering and machine learning algorithms.
Must have Data wrangling experience with structured, semi-structure and unstructured data.
Must have excellent communication skills, both through written and verbal channels.
Must have excellent collaboration skills to work with multiple teams in the organization.
Must be able to understand and adapt to changing business priorities and technology advancements in Big data.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Safe return to office:
In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.
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