What are the responsibilities and job description for the Data Scientist position at K&K Global Talent Solutions INC.?
K&K Global Talent Solutions Inc is an International recruiting agency that has been providing technical resources in the USA and Canada region since 1993.
This position is with one of our clients in USA , who is actively hiring candidates to expand their teams.
Job Title : Data Scientist / Data Analytics Engineer
Location : Sunnyvale CA (Remote)
Experience : 10 Years
Job Type : Contract
Key Responsibilities :
Analyse large datasets to identify trends, patterns, and insights relevant to Client’s operations.
Propose and select appropriate AI / ML models to address specific business challenges.
Curate and prepare data for model training, ensuring high data quality and relevance.
Train AI / ML models, optimizing performance through iterative testing and refinement.
Collaborate with cross-functional teams to implement data-driven solutions and share findings.
Develop and maintain documentation for data processes and model performance.
Qualifications :
Expertise in AI / ML : Proven experience applying AI and machine learning techniques to real-world data analytics problems.
Hands-on experience in ML model development, training, and deployment.
Expertise in anomaly detection using techniques such as Isolation Forest, One-Class SVM, and statistical outlier detection.
Proficiency in clustering techniques like K-Means, DBSCAN, Hierarchical Clustering, and K-Slot allocation strategies.
Knowledge of predictive modeling, classification, and regression techniques.
SQL Proficiency : Advanced skills in SQL for querying and manipulating large datasets.
Strong experience in writing complex queries, optimizing performance, and handling large datasets.
Proficiency in SQL-based data extraction, transformation (ETL), and reporting.
Knowledge of window functions, indexing, partitions, K-Slot allocation, and distributed query optimization.
Google BigQuery Expertise : Extensive experience with Google BigQuery for data analysis and management.
Data Analysis Skills : Strong analytical skills with the ability to interpret complex data sets and draw actionable conclusions.
Strong programming skills in Python with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch.
Experience in automating data pipelines and handling large-scale data ingestion.
Web scraping expertise using BeautifulSoup , Scrapy, Selenium for data collection and pre-processing.
Familiarity with distributed computing frameworks such as Spark (PySpark), Dask, or Hadoop.
Understanding of parallel processing, batch processing, and real-time streaming solutions.
Experience with cloud platforms (AWS, GCP, Azure).
Experience with dashboarding tools like Tableau, Power BI, Looker, or Streamlit to present insights effectively.
Ability to automate and integrate data pipelines for real-time monitoring.
Problem-Solving : Excellent problem-solving skills with a focus on innovative data-driven solutions.
Communication : Strong communication skills to effectively present findings and collaborate with stakeholders.
Preferred Qualifications :
Experience in telecommunications or related industries.
Familiarity with data visualization tools (e.g., Tableau, Looker).
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