{"id":2494780,"url":"https://alion.io/job/gradera-data-scientist","title":"Data Scientist","company":{"id":4377760,"name":"Gradera","domain":"gradera.ai","url":"https://alion.io/company/gradera","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":46000,"period":"year","method":"role_country_seniority_unknown","sample_n":141},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Db2","optional":false},{"name":"Feature Store","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Computer Vision","optional":true}],"status":"live","first_seen_at":"2026-08-03T14:13:52Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-10-15T03:19:11Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"About Gradera\nGradera is an AI-Native Services firm pioneering Software-Orchestrated Services™ -a new enterprise transformation model where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed, scalable outcomes. We help enterprises move beyond 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.\nOverview\nWe are seeking a highly analytical and curious Data Scientist to transform complex, real-world data into meaningful insights and scalable 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.\nYou will play a critical role in bridging raw data and business impact, developing a deep understanding of how data is generated, structured, and used. This includes conducting rigorous exploratory analysis, assessing data quality and lineage, and building robust analytical datasets that power advanced modeling and reporting.\nThis role offers the opportunity to work with large-scale data platforms, cloud infrastructure, and modern machine learning frameworks, while contributing to impactful decision-making through experimentation, analytics, and self-service data tools.\nRole & Responsibilities\nCollect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources\n\nConduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns\n\nProfile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling\n\nInvestigate and document data lineage - understanding where data originates, how it flows, and how it transforms across systems\n\nIdentify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams\n\nDevelop a deep understanding of the business domain and the underlying data that represents it - including what each field means, how it is captured, and what its limitations are\n\nTranslate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting\n\nApply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise\n\nBuild and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis\n\nDesign, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques\n\nDevelop data-driven recommendations backed by rigorous statistical reasoning\n\nWrite clean, production-ready code in Python or R\n\nCollaborate with data engineers to build reliable data pipelines and feature stores\n\nDeploy and monitor ML models using MLOps best practices on cloud infrastructure\n\nBuild dashboards and self-serve analytics tools to support stakeholder decision-making\n\nData Understanding & Analysis Skills\nStrong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks\n\nExperience working with messy, incomplete, or poorly documented real-world data\n\nSkilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration\n\nAbility to ask the right questions about data - challenging assumptions, validating sources, and understanding the context in which data was collected\n\nProficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset\n\nExperience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding\n\nComfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats\n\nTechnical Skills Required\nProficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R\n\nStrong SQL skills with hands-on experience in DB2 and SQL Server\n\nExperience with Databricks for large-scale data processing, feature engineering, and model training\n\nFamiliarity with cloud platforms: Azure or AWS\n\nExperience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)\n\nKnowledge of MLOps tools such as MLflow, Kubeflow, or Airflow\n\nExperience with streaming data technologies such as Kafka or Spark\n\nSolid foundation in probability, statistics, linear algebra, and experimental design\n\nNice to Have\nExperience with deep learning, NLP, computer vision, or Bayesian methods\n\nFamiliarity with real-time or streaming data pipelines\n\nOpen-source contributions or published research","description_format":"text","description_chars":4931,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T04:07:40Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.313,"p_room":0.28,"age_days":71,"expected_fill_days":21,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/gradera-data-scientist","json_url":"https://alion.io/job/gradera-data-scientist.json","meta":{"generated_at":"2026-10-15T04:24:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6374,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4377760},"rest":"https://alion.io/mcp/rest/get_company?id=4377760"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgradera-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgradera-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgradera-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gradera-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgradera-data-scientist"}]}