Company Description:
Our client manages a large portfolio of companies and has a large focus on upholding integrity and being held accountable to the highest ethical standards. They are committed to fostering a culture of open communication, teamwork, and personal development.
ESSENTIAL FUNCTIONS of Data Science-Machine Learning role:
- Design, train, and implement machine learning algorithms
- Build, deploy, and maintain machine learning algorithms end to end.
- Designs machine learning and advanced analytics solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by product owner and other stakeholders in a production environment
- Will be working in software development life cycle.
- Assists in integrating subsystems such as data pipelines, AI/ML algorithms, API interfaces into end-user facing products.
- Working on daily scrums and supporting Scrim Master.
- Creates detailed documentation which describes methodology, relevant instructions, and test results
SUPERVISORY RESPONSIBILITIES
- May oversee other data science workers or contractors at times.
- Leading and managing data science and ml projects.
SOFT SKILLS
- Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects.
- Fantastic problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights.
- Can see the overall picture and understand alternative approaches.
- Strong communication skills with technical and non-technical stakeholders.
CERTIFICATES, LICENSES, REGISTRATIONS*
- Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
Desired Skills and Experience
-Bachelor's degree in a related discipline at minimum with 4 years of related experience.
-The right candidate could also have a different combination, for example the candidate could have a masters degree with 2 years' experience; a Ph.D. and up to 1 year of experience; or 8 years' experience in a related field
-Proficient in Python, machine learning libraries & frameworks (TensorFlow, PyTorch, scikit-learn)
-Familiar with data processing and visualization tools (SQL, Tableau, Power BI).
-Expertise in advanced analytical techniques (descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.)
-Experience with Time-Series Forecasting Methods, Regression Models, Clustering/Dimensionality Reduction
-Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark).
-Solid understanding of ML life cycle.
-Experience in CI/CD Pipelines.
Benefits:
- Health, Dental, and Vision Insurance
- 15+ Days of PTO Annually
- Educational Assistance available
- Annual bonus
- 401(k) Matching Program