{"id":3466123,"url":"https://alion.io/job/dataobrii-middle-data-scientist","title":"Middle Data Scientist","company":{"id":4486746,"name":"DataObrii","domain":"dataobrii.com","url":"https://alion.io/company/dataobrii","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":50000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Hyperopt","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Optuna","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SHAP","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-16T15:40:07Z","employer_posted_date":null,"last_verified_at":"2026-10-16T15:40:07Z","board_verified":false,"closed_at":null,"days_open":14,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":14},"description":"We are looking for a Middle Data Scientist with strong hands-on experience in time-series, deep learning, and Python development.\n\nThis role is a good fit for someone with 3+ years of professional experience in Data Science or Machine Learning, a strong understanding of neural networks, and practical experience developing predictive models for time-series and tabular data.\n\nWe expect solid knowledge of different neural network architectures, including recurrent and convolutional networks, as well as practical experience designing, training, tuning, validating, and deploying models.\n\nStrong Python programming skills are essential for this position. You should also be confident working with statistics, data analysis, and production-oriented Data Science code.\n\nWhat you will work on:\n\nPerform exploratory data analysis and prepare statistical summaries for hypothesis testing and data-driven decision-making.\n\nBuild data preparation and feature engineering pipelines used by predictive models.\n\nDesign and implement predictive modelling approaches.\n\nContinuously analyse and improve models already running in production.\n\nTake an active role in Python development related to end-to-end ML model delivery and support internal ML-related libraries.\n\nTune loss functions, evaluation metrics, sample weights, hyperparameters, and other model components to improve model quality.\n\nPrepare detailed model evaluation reports, summarise findings, and communicate practical insights to stakeholders.\nWhat we expect from you:\n\nAt least 3 years of professional experience working as a Data Scientist or Machine Learning Engineer.\n\nPractical experience building custom neural networks with PyTorch.\n\nStrong knowledge of neural network architectures applicable to time-series forecasting and predictive modelling of tabular data.\n\nExperience working with layers such as LSTM, GRU, Conv1D, Dense, Dropout, and BatchNormalization, as well as activation functions including ReLU, Sigmoid, Tanh, and Softmax.\n\nHands-on experience working with time-series datasets, including data loading, cleaning, preparation, and feature engineering with pandas and NumPy.\n\nExperience with the Darts library would be a significant advantage.\n\nExperience selecting and developing models available in Darts, as well as creating custom neural network architectures.\n\nExcellent Python knowledge and confidence working with libraries such as Scikit-learn, Pandas, PyTorch, and SHAP.\nPython proficiency is particularly important for this role. Our projects require Data Scientists who can independently write, structure, and maintain Data Science functionality and supporting libraries.\n\nYou should also have:\n\nAn understanding of statistics and data analysis.\n\nExperience selecting and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, as well as custom losses suitable for forecasting problems.\n\nExperience with hyperparameter optimisation tools such as Optuna or Hyperopt.\n\nAbility to implement and optimise PyTorch training loops, including data loaders and training/validation stages.\n\nKnowledge of cross-validation approaches designed specifically for time-series data.\n\nUnderstanding of regularisation techniques used to reduce overfitting.\n\nStrong knowledge of model evaluation metrics, including MSE, RMSE, MAE, MAPE, and R-squared.\n\nFamiliarity with backtesting approaches used to validate model performance.\n\nExperience with model deployment, including model serialisation and deployment for real-time services.\n\nExperience preparing visualisations with matplotlib, seaborn, or Plotly.\n\nConfident use of Git for version control and team collaboration.\n\nStrong self-management and organisational skills.\n\nWhat We Offer:\n\nCompetitive remuneration package.\n\nBonuses\n\nProfessional mentorship and guidance from experienced team members.\n\nOpportunities for professional growth and continuous learning.\n\nA dynamic and collaborative work environment.","description_format":"text","description_chars":3934,"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":["Continuous learning"],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-29T15:24:45Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.827,"p_room":0.9,"age_days":14,"expected_fill_days":28,"reasons":["seen:14","win:mid"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/dataobrii-middle-data-scientist","json_url":"https://alion.io/job/dataobrii-middle-data-scientist.json","meta":{"generated_at":"2026-10-31T06:42:42Z","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":9893,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":4486746},"rest":"https://alion.io/mcp/rest/get_company?id=4486746"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdataobrii-middle-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%2Fdataobrii-middle-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%2Fdataobrii-middle-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/dataobrii-middle-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdataobrii-middle-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3466123}},{"tool":"search_jobs","arguments":{"company":"dataobrii.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3466123},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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