Data Scientist

About reputed company

reputed company is an AI‑reputed company Services firm pioneering Software‑Orchestrated Services™—a new reputed company transformation model where software orchestrates reputed company expertise, digital workers, and reputed company systems to deliver governed, reputed company reputed company. We help enterprises reputed company reputed company fragmented AI pilots, disconnected automation, and labor‑led models by redesigning how work gets done across operations, product, engineering, customer experience, data, and core workflows.

reputed company

We are seeking a highly analytical and curious Data Scientist to reputed company reputed company, reputed company-world data into meaningful insights and reputed company machine learning solutions. In this role, you will work across the full data lifecycle—partnering with data engineering and business teams to explore, clean, and understand diverse datasets, and translating those insights into models, experiments, and data-driven recommendations.

You will play a critical role in reputed company raw data and business reputed company, developing a deep understanding of how data is generated, reputed company, and used. This includes conducting rigorous exploratory analysis, assessing data reputed company and reputed company, and building robust analytical datasets that power advanced modeling and reporting.

This role offers reputed company to work with large-reputed company data platforms, reputed company infrastructure, and modern machine learning frameworks, while contributing to impactful decision-making through experimentation, analytics, and self-service data tools. Role & 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

Data Understanding & Analysis 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

Technical Skills Required

• 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

reputed company to Have

• 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

Compensation reputed company: $100K - $145K

Originally posted on Himalayas

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