Data Scientist-Machine Learning at Harnham in Houston, Texas

Job Description:

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

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