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Mid LevelFull-timePythonAWSMachine LearningData ScienceGitAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an AI Automations Data Engineer / Data Scientist to design, build, and optimize data solutions that enhance operational efficiency and drive business insights. This pivotal role will contribute to technological innovation, particularly in exploring emerging technologies like generative AI.
Key Responsibilities
- →Design and implement scalable, reliable, and efficient end-to-end data pipelines and workflows using tools like Snowflake and Matillion.
- →Collaborate with business owners to identify key data needs and translate them into actionable technical solutions.
- →Evaluate industry trends and emerging technologies, including generative AI, to recommend innovative data strategies.
- →Demonstrate expertise in data integration, transformation, and modeling using tools such as Snowflake and Matillion.
- →Develop impactful dashboards and reports using Power BI and Tableau to support data-driven decision-making.
- →Leverage Databricks for advanced data processing, machine learning workflows, and big data analytics.
- →Build and deploy machine learning models and statistical analyses to address business challenges.
- →Collaborate with cross-functional teams to align data solutions with organizational priorities.
- →Maintain governance standards and ensure compliance with data security protocols.
Requirements
- ✓Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, and 5+ years of experience in data engineering or data science.
- ✓Proficiency in Snowflake, Matillion, BI Tools (Power BI, Tableau, or similar) and Data Science Platforms (Databricks).
- ✓Strong programming skills in Python, SQL, or other relevant languages.
- ✓Hands-on experience in building and deploying machine learning models.
- ✓Strong analytical and problem-solving skills with a business-oriented mindset.
Benefits
- ★Robust total rewards package including competitive compensation and healthcare benefits.
- ★Flexible work schedules and work/life balance initiatives.
- ★Parental leave (including paternal) and achievement awards.
- ★Educational assistance and child/adult backup care.
- ★Career development and recognition programs.
