Data Scientist – Mid-Level

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Irth Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1995

☁️ SaaS

⚡ Energy

📡 Telecommunications

💰 Private Equity Round on 2015-07

SaaS • Energy • Telecommunications

Irth Solutions is a market-leading provider of a SaaS platform focused on enhancing resilience and reducing risk in the management of critical network infrastructure. Their solutions are trusted by energy, utility, and telecom companies across the U. S. and Canada, offering capabilities in damage prevention, training, asset inspections, land management, and 811 ticket management. By leveraging business intelligence, analytics, and geospatial data, Irth Solutions provides comprehensive situational awareness to proactively manage and mitigate risks in network infrastructure. The acquisition of OneBridge Solutions enhances their asset performance management offerings.

📋 Description

• Contribute to Databricks medallion architecture pipelines from Bronze through Silver to Gold • Implement data-quality checks, validation gates, data contracts, lineage, governance, policy-as-code, PII masking, obfuscation, and access controls • Explore, prototype, evaluate, and productionize machine learning and GenAI solutions for forecasting, anomaly detection, NLP, RAG, LLM assistants/copilots, and predictive analytics • Package and manage models using Unity Catalog model management/registries • Design batch and streaming inference architectures • Define success metrics, KPIs, and A/B testing strategies with Product and business stakeholders • Move successful experiments from prototype to production with SLAs, monitoring, documentation, and operational runbooks • Build production workflows, jobs, and notebooks as infrastructure/assets-as-code using Databricks Asset Bundles • Implement CI/CD pipelines using GitHub Actions • Design reliable, observable, scalable, and cost-efficient data and ML workloads • Implement monitoring, alerting, automated Jira incident tracking, FinOps practices, resource tagging, workload policies, and cost monitoring • Contribute semantic models, business metrics, and definitions to Unity Catalog • Support data consumption through Power BI and Databricks AI/BI • Develop and maintain trusted data products with domain teams • Implement secure data and ML architectures using RBAC and ABAC • Manage credentials and secrets using Azure Key Vault or KMS • Support SOC 2, ISO 27001, GDPR, and PIPEDA compliance • Maintain audit evidence for lineage, access reviews, retention, security controls, and disaster recovery testing • Participate in governance and security reviews and remediate gaps • Deliver data and AI use cases from idea through prototype and production to measurable business impact

🎯 Requirements

• 3–6 years of experience in Data Science, Machine Learning, or ML Engineering, with a proven track record of taking models from development through production • Strong programming and data skills in Python, SQL, and Spark/PySpark • Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Databricks SQL, Jobs and Workflows, and Medallion architecture • Strong understanding of feature engineering, model training and selection, model evaluation and validation, model monitoring, data-quality monitoring, and model and data drift detection • Practical GenAI/LLM experience, including prompt engineering, RAG, vector databases/vector stores, LLM evaluation, AI safety and guardrails, and LLM latency, scalability, and cost tradeoffs • Experience implementing CI/CD for data and ML workloads, including GitHub Actions, Databricks Asset Bundles, environment promotion, and secrets/configuration management • Experience with data contracts and data-quality frameworks, including schema governance, automated expectations/testing, validation, and quarantine/error-handling workflows • Strong understanding of data security and compliance, including PII handling and protection, RBAC/ABAC, data residency requirements, and policy-as-code • Ability to produce technical documentation, including ADRs, runbooks, experiment reports, and operational documentation • Preferred: Microsoft Azure, AWS, geospatial data and analytics, streaming/real-time data, MLflow, Unity Catalog Model Serving, data and ML observability, FinOps, DR/BCP, resilience, and utilities/energy/infrastructure industries • Nice-to-have: predictive/risk-scoring/failure-prediction models, anomaly detection, time-series forecasting, GIS/geospatial ML features, asset-integrity risk models, regulatory/audit reporting, and operational decision-support tools

🏖️ Benefits

• Competitive compensation package based on experience and qualifications • Medical, Dental, and Vision Insurance • 401(k) Plan with Company Match • Generous Paid Time Off (PTO) • Company-Paid Holidays • Flexible Work Options / work-from-home opportunities, depending on role and business needs • On-Call Compensation for eligible on-call shifts