C2C Job Sr. Data Analyst 4 Irving Place, NY (Hybrid)

Role :- Sr. Data Analyst

Location :- 4 Irving Place, NY (Hybrid)

Duration :-12+ Months

Interview Process:- 1^st video, 2^nd  Face 2 Face.

Need local candidates only.

 

Job Description:- 

Required Qualifications:
•    Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
•    Strong experience in machine learning algorithms, predictive modeling, and data mining.
•    Proficiency in Pyspark, Python pandas (required) for data science workloads.
•    Strong SQL (required)  knowledge and experience with relational databases.
•    Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices.
•    Experience with Azure Databricks, Google Cloud, and modern data science libraries (e.g., scikit-learn, pandas, NumPy).
• Experience with GenAI and large language models. • Ability to interpret complex datasets and produce actionable insights. • Must know how to analyze the root cause of dashboard errors. • Have experience in ML Ops and have strong coding background. • Have experience with Natural Language Processing (NLP). • Knowledge or experience with A/B Testing.
•    Working knowledge of designing, training, and implementing machine learning models.
•    Familiarity with cloud-based infrastructure
•    Excellent communication and problem-solving skills.
•    7 or more years of experience in data science and machine learning engineering. 

Additional Skills (Skills that are a plus, but not required)
•    Knowledge of statistical methods and experimental design.

Responsibilities
•    Key Responsibilities
Advanced Analytics & Machine Learning
o    Design, develop, and optimize machine learning models (forecasting, classification, clustering).
o    Apply data mining techniques to uncover patterns and insights in large datasets.
o    Perform feature engineering, model validation, and performance tuning.
o    Explore and deploy modern AI and ML approaches to enhance automation and analytics.

Data Preparation & Quality
o    Prepare structured and unstructured data for modeling and advanced analysis.
o    Develop scripts and tools for data cleansing, validation, and enrichment.
o    Collaborate with Data Engineering to maintain efficient data pipelines.
o    Identify data quality issues and propose remediation.

Analytics, Insights & Reporting
o    Conduct deep-dive analyses to identify trends and improvement opportunities.
o    Communicate complex findings in clear, concise ways to technical and non-technical stakeholders.
o    Support the development of dashboards, metrics, and analytical solutions.
Cross-Team Collaboration
o    Work with architects, engineers, and analysts to define analytical requirements.
o    Contribute to conceptual data model design and workflow optimization.
o    Promote best practices in machine learning, analytics, and data governance.

 

 

Thanks & Regards

Piyush Singh |  Technical Recruiter

piyush@tekintegral.com