{"id":2572193,"url":"https://alion.io/job/applaudo-sr-applied-data-scientist","title":"Sr. Applied Data Scientist","company":{"id":5319,"name":"Applaudo","domain":"applaudostudios.com","url":"https://alion.io/company/applaudo-studios","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lima, Peru"],"countries":["PE"],"hiring_countries":["PE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":95000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"PyCaret","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"BigQuery","optional":true},{"name":"Databricks","optional":true},{"name":"Google BigQuery","optional":true},{"name":"LLM","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-14T22:28:10Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T14:35:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About You\nYou are an experienced Data Scientist with strong applied Machine Learning expertise and a track record of building and evaluating models using real-world, messy, large-scale data. You are comfortable working with embeddings, semantic similarity, LLMs, NLP, classification, and both supervised and unsupervised learning. You approach ambiguous problems through structured experimentation, clearly defined hypotheses, baselines, metrics, and error analysis.\nYou are highly autonomous, intellectually honest about experimental results, and able to clearly communicate technical recommendations and trade-offs to engineering and business stakeholders.\nYou Bring to Applaudo the Following Competencies\n5+ years of professional Data Science / Machine Learning experience.\nStrong applied Machine Learning fundamentals.\nExcellent Python and SQL skills.\nHands-on experience with embeddings and semantic similarity.\nPractical experience applying LLMs to real-world problems.\nExperience with supervised and unsupervised learning.\nStrong experience with classification and NLP.\nWorking knowledge of neural networks and transformer architectures.\nHands-on experience with TensorFlow, PyTorch, PyCaret, or equivalent ML frameworks.\nExperience retraining or maintaining classification models in production.\nStrong experimental design and model evaluation skills.\nExperience defining baselines, metrics, test sets, and error-analysis processes.\nAbility to evaluate model quality and demonstrate measurable improvements.\nStrong understanding of scalability and ML inference costs.\nStrong English communication skills.\nNice-to-Have\nEntity resolution, record linkage, or deduplication experience.\nRanking and similarity scoring.\nRetrieval, clustering, or candidate-generation techniques.\nLLM/embedding solutions designed for cost and scale constraints.\nSpark, Snowflake, Databricks, or BigQuery.\nExperience with company, domain, website, or firmographic data.\nExperience working with multilingual datasets.\nYou Will Be Accountable for the Following Responsibilities\nBuild and evaluate ML approaches for company/entity matching.\nDevelop embedding and LLM-based matching approaches.\nDevelop scoring and ranking methodologies to identify true matches and distinguish them from duplicates, lookalikes, and unrelated entities.\nWork with messy data, including names, aliases, domains, websites, firmographic attributes, multilingual records, and data hierarchies.\nDefine benchmark datasets, metrics, baselines, and error-analysis processes.\nDesign and execute experiments to validate hypotheses.\nCompare LLM-assisted approaches against lower-cost alternatives.\nAnalyze model behavior, edge cases, and trade-offs.\nConsider inference economics and scalability from the beginning.\nCommunicate experimental findings and recommendations to engineering and business stakeholders.\nIndependently establish experimental pipelines and research approaches.\nClearly document both successful and unsuccessful experiments.\nWhat Sets You Apart\nStrong analytical and experimental mindset.\nIntellectual honesty and willingness to communicate negative results.\nStrong autonomy and self-direction.\nExcellent written and verbal communication.\nAbility to defend technical recommendations with stakeholders.\nStrong problem-solving skills.\nComfort working with ambiguity and large-scale datasets.\nAbility to balance model quality, cost, and scalability.\n About Us\nWe Are Engineered Different.\nAt Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.\nWe are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.\nApplaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.","description_format":"text","description_chars":4369,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Peru","iso":"PE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["UI/UX Design","IT Outsourcing & Dedicated Teams","Mobile App Development Services","Web Development Services"],"lifecycle":[{"event":"open","at":"2026-10-14T23:11:26Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/applaudo-sr-applied-data-scientist","json_url":"https://alion.io/job/applaudo-sr-applied-data-scientist.json","meta":{"generated_at":"2026-10-15T15:05:05Z","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":23035,"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":5319},"rest":"https://alion.io/mcp/rest/get_company?id=5319"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapplaudo-sr-applied-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%2Fapplaudo-sr-applied-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%2Fapplaudo-sr-applied-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/applaudo-sr-applied-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapplaudo-sr-applied-data-scientist"}]}