Data Scientist

Direct Client Requirement

Job Title: Data Scientist

Job Location: Holtsville, NY

Duration: 6+ Months

Responsibilities:
- Design, build, and validate robust predictive models and machine learning solutions to address specific business problems.
- Process, cleanse, and transform large, complex datasets from various sources to create highquality features for modeling.
- Create comprehensive documentation for all models, code, and data pipelines to ensure transparency and facilitate a smooth handover at the end of the contract.
- Develop and present findings, model performance metrics, and project outcomes to technical leads and project managers, often through dashboards in tools like Power BI.
Technical Skills
- Strong foundation in machine learning, deep learning, and AI frameworks.
- Familiarity with tools and platforms such as TensorFlow, PyTorch, Databricks, Google BigQuery, and cloudbased AI services (AWS, Google Cloud, Azure).
- Expertlevel proficiency in Python and its core data science libraries (e.g., pandas, NumPy, scikitlearn).
- Strong SQL skills for complex data extraction (mandatory).
- Understanding of MLOps practices and tools (e.g., MLflow, Kubeflow) to ensure operational efficiency in AI pipelines.
- Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with data visualization tools such as Power BI or similar.
- Strong interpersonal and communication skills to effectively translate technical concepts for nontechnical stakeholders.
Minimum Education
Bachelor s or advanced degree (Master s/Ph.D.) in Computer Science, Data Science, Artificial Intelligence, or a related field.
Minimum Work Experience
5+ years with a strong background in statistics, machine learning, deep learning, and programming.
Preferred Certifications:
- Google Cloud Professional Machine Learning Engineer
- AWS Certified Machine Learning Specialty
- Microsoft Certified: Azure AI Engineer Associate

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.