New York, NY, United States (Hybrid) Contract (5 months 1 day) Published 4 hours ago stakeholder management business analytics mlops KPI Development pytorch sql database machine learning python programming The Senior Data Scientist will develop predictive analytics solutions that translate operational and business health indicators into measurable metrics. The role will focus on forecasting, anomaly detection, risk identification, and recommendation models to support strategic decision-making.
Key Responsibilities:
- Analyze complex operational datasets to identify trends, risks, and opportunities.
- Build forecasting and predictive models using time-series techniques.
- Develop anomaly detection and recommendation engine capabilities.
- Perform feature engineering, model validation, and back-testing activities.
- Collaborate with business stakeholders to define measurable success metrics.
- Present analytical findings and recommendations to leadership teams.
Required Skills (Minimum 3):
- Strong Python-based data science experience (Pandas, Scikit-learn).
- Expertise in time-series forecasting and predictive modeling.
- Experience with feature engineering, model validation, and statistical analysis.
- Strong SQL skills and hands-on experience with Snowflake.
- Experience using Azure Machine Learning and code versioning tools such as GitHub.
Technology Stack:
- Python
- SQL
- Snowflake
- Azure Machine Learning
- GitHub
- Prophet or other forecasting libraries
- PyTorch (preferred)
Preferred Qualifications:
- Experience with resource and capacity planning analytics.
- Experience in utility or regulated industry environments.
- Knowledge of survival analysis and duration modeling techniques.
The pay range that the employer in good faith reasonably expects to pay for this position is $50.85/hour - $79.46/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
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