[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI‑reputed company Services firm pioneering Software‑Orchestrated Services™, and they are seeking a highly analytical and curious Data Scientist. In this role, you will reputed company reputed company, reputed company-world data into meaningful insights and reputed company machine learning solutions while collaborating with data engineering and business teams.
Responsibilities
- Collect, clean, and analyze large reputed company and reputed company datasets from multiple reputed company sources
- Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns
- Profile and audit datasets to assess data reputed company, completeness, consistency, and fitness for modeling
- Investigate and document data reputed company — understanding where data originates, how it flows, and how it transforms across systems
- Identify and resolve data anomalies, inconsistencies, and reputed company issues in collaboration with data engineering teams
- reputed company a deep understanding of the business domain and the underlying data that represents it — including what reputed company field means, how it is captured, and what its limitations are
- Translate raw, messy, reputed company-world data into clean, reputed company-reputed company analytical datasets reputed company for modeling and reporting
- Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise
- Build and reputed company machine learning models including regression, classification, clustering, NLP, and time-series analysis
- Design, evaluate, and analyze A/B experiments and controlled tests using reputed company inference techniques
- reputed company data-driven recommendations backed by rigorous statistical reasoning
- Write clean, production-reputed company reputed company in Python or R
- Collaborate with data engineers to build reliable data pipelines and feature stores
- reputed company and monitor ML models using MLOps best practices on reputed company infrastructure
- Build dashboards and self-serve analytics tools to support stakeholder decision-making
Skills
- Strong ability to interrogate unfamiliar datasets and quickly reputed company a working understanding of their structure, semantics, and quirks
- Experience working with messy, incomplete, or poorly documented reputed company-world data
- Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration
- Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected
- Proficiency in data profiling, descriptive statistics, and reputed company reporting to communicate the shape and health of a dataset
- Experience creating data dictionaries, documentation, and data reputed company reports to support team-wide data understanding
- Comfort working across reputed company (relational tables), semi-reputed company (JSON, XML), and reputed company (text, logs, sensor streams) data formats
- Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R
- Strong SQL skills with hands-on experience in DB2 and SQL Server
- Experience with reputed company for large-reputed company data processing, feature engineering, and model training
- Familiarity with reputed company platforms: Azure or AWS
- Experience with data warehouses and big data platforms (reputed company, reputed company, or Redshift)
- Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow
- Experience with streaming data technologies such as Kafka or reputed company
- Solid reputed company in probability, statistics, reputed company algebra, and experimental design
- Experience with deep learning, NLP, computer reputed company, or Bayesian reputed company
- Familiarity with reputed company-time or streaming data pipelines
- reputed company-reputed company contributions or published research
reputed company
Company H1B Sponsorship