Senior Consultant, Data Science
Vancouver, BC, Canada
Full Time Senior-level / Expert USD 75K - 90K
dentsu international
At dentsu, innovation is our strength, and your growth is our mission. We help you keep up with technological changes in the digital economy.Company Description
Merkle | Cardinal Path empowers brands to harness their data and activate against it in pursuit of their business goals. Our passionate experts act as an extension of our clients' teams, leveraging their deep knowledge to help brands maximize media and technology on the path toward digital transformation.
Merkle | Cardinal Path is rapidly expanding its Google Marketing Platform strategy with our clients, including media strategy, activation, platform management, analytics, and managed services to deliver transformational outcomes.
Job Description
Our data science team offers cloud architecture, data engineering, data modelling, AI, and business intelligence services to our clients. For the Senior Consultant, Data Science role, we are looking for a combination of data engineering and data modelling skills. You will report to a Senior Director, Data Science.
- You will have experience in building data pipelines using SQL and Python in a cloud hosted environment such as Google Cloud Platform, AWS, or Azure. You will also have experience in data modelling such as audience clustering, predictive lifetime value scoring, and forecasting. Additional responsibilities include:
- You will be a primary consultant to clients for data and analytics related services coordinating across other support and consultant roles.
- You will collect client project requirements and create solution designs to solve for client's business and technical needs.
- You will create datasets and views of data that will be consumed by teams of analysts and data scientists to support data mining, analytics, reporting, and dashboards.
- You will estimate projects involving data integration, data architecture, business analysis or data modelling and collaborate with sales and client success teams to grow accounts.
- You will participate in product roadmap discussions and identifying key areas for improvement of products and services.
- You will provide subject matter expertise on industry trends for database-related technologies.
- You will build cooperative, productive relationships with clients and vendors
- You will promote and demonstrate data management best practices and among a team of analysts and data scientists.
- You will promote the company and team, acting as a self-starter, and demonstrating proactive initiative.
Qualifications
Qualifications:
- A minimum of 4 years experience with developing data pipelines and data models in a cloud environment
- Can accommodate at least a 70% overlap of working time with North American teams and clients, based on central time zone (CT)
- Advanced skills in SQL and Python
- Experience with cloud platforms such as AWS, Azure, and Google Cloud
- Experience with cloud hosted analysis products such as BigQuery (preferred), Azure SQL DB/Synapse, Snowflake, or Amazon Redshift
- Experience with data extraction using ETL tools and working with data source APIs. Ideally within the context of digital media, such as extracting data from Google Ads, Google Analytics, Meta, etc.
- Experience with web analytics tools such as Adobe Analytics or Google Analytics is a big plus that may help you stand out amongst candidates.
- Experience with optimizing BI or visualization tools such as Tableau, Looker, DOMO or Power BI is nice to have.
#LI-MS3
Additional Information
The salary range for this position is $75,000 - $90,000. Actual salary within the salary range will be based on a variety of factors including relevant experience, knowledge, and skills. A range of medical, dental, RRSP, paid time off, and/or other benefits also are available to all permanent employees.
Tags: APIs Architecture AWS Azure BigQuery Business Intelligence Clustering Data management Data Mining Data pipelines Engineering ETL GCP Google Cloud Looker Pipelines Power BI Python Redshift Snowflake SQL Tableau
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Engineer II jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs