{"id":1227754,"url":"https://alion.io/job/iderize-data-scientist","title":"Data Scientist","company":{"id":3800771,"name":"Iderize","domain":"techjays.com","url":"https://alion.io/company/iderize","size_band":"51-200","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":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Coimbatore, India","India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":37000,"period":"year","method":"role_seniority_country_cell","sample_n":17},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Akamai","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-23T07:06:40Z","employer_posted_date":null,"last_verified_at":"2026-09-23T07:06:40Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Data Scientist\n\nTechjays | Coimbatore\n\nExperience 4+ years\n\nLocation Coimbatore (Remote / Coimbatore office)\n\nWhat Makes Techjays an Inspiring Place to Work : \n\nAt Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core. We operate as part of the 1% of companies globally that can truly leverage AI the right way - not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes. Our strength lies in combining deep engineering with AI system design, building AI-native platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready.\n\nOur team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced technology and AI systems for global clients.\n\nWe are looking for a strong Data Scientist who can translate complex business problems into data-driven and AI-powered solutions. You will work across machine learning, statistical modelling, experimentation, and AI applications, taking solutions from exploration and prototyping to production.\n\nKey Skills : \n\n- Programming (Advanced) : Python, SQL\n\n- Machine Learning (Expert) : Supervised and unsupervised learning, feature engineering, model development and evaluation\n\n- Statistics (Advanced) : Statistical analysis, hypothesis testing, experimentation, probability\n\n- Data Analysis (Advanced) : Exploratory data analysis, data preparation, visualization, and interpretation\n\n- ML Frameworks (Proficient) : Scikit-learn, Pandas, NumPy\n\n- Deep Learning (Familiar) : PyTorch, TensorFlow or similar frameworks\n\n- AI/ML (Proficient) : NLP, recommendation systems, classification, regression, clustering, or other applied ML use cases\n\n- Cloud & MLOps (Familiar) : AWS / GCP / Azure, model deployment, CI/CD, ML pipelines\n\n- Tools : Git, Docker, Jupyter, Linux\n\nRoles and Responsibilities : \n\n- Translate business problems into data science and machine learning solutions.\n\n- Explore, clean, transform, and analyze large and complex datasets.\n\n- Develop, train, evaluate, and improve machine learning models.\n\n- Perform feature engineering and identify meaningful patterns and insights from data.\n\n- Design experiments and evaluate model performance using appropriate statistical and business metrics.\n\n- Build proof-of-concepts and take successful models towards production.\n\n- Collaborate with Data Engineers, AI Engineers, Software Engineers, and product teams to build end-to-end AI solutions.\n\n- Work with structured and unstructured data across different business domains.\n\n- Monitor model performance and identify opportunities for continuous improvement.\n\n- Document methodologies, assumptions, experiments, and model outcomes clearly.\n\n- Stay current with developments in machine learning, GenAI, and applied AI, and identify where they can create meaningful business value.\n\n- Contribute to building reusable approaches, frameworks, and best practices for data science and AI projects.\n\nWhat We're Looking For Beyond Skills : \n\n- Builder mindset - you focus on solving real problems, not just building models.\n\n- Business thinking - you understand the problem behind the data and connect your work to measurable outcomes.\n\n- Ownership - you take solutions from exploration through production.\n\n- Structured thinking - you can break down ambiguous problems and form clear hypotheses.\n\n- Experimentation mindset - you are comfortable testing, learning, and iterating.\n\n- Strong communication - you can explain technical findings and model outcomes clearly to both technical and non-technical stakeholders.\n\n- Learning mindset - you stay curious about rapidly evolving AI and data technologies.\n\n- Ability to adapt - you are comfortable working in a fast-paced, evolving startup environment.\n\nWhat We Offer : \n\n- Competitive compensation\n\n- Flexible work environment (Remote / Coimbatore office)\n\n- Paid holidays & flexible time off\n\n- Medical insurance (Self & Family up to Rs. 4 Lakhs per person)\n\n- Opportunity to work on production-grade AI and data science solutions\n\n- Exposure to global clients and high-impact projects\n\n- A culture that values clarity, integrity, and continuous growth\n\nSkills\nPython, Machine Learning, SQL, Scikit-Learn, PyTorch, Tensorflow, NLP, Data Science, Data Scientist","description_format":"text","description_chars":4498,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Flexible time off","Health insurance"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":49,"reasons":["seen:6","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/iderize-data-scientist","json_url":"https://alion.io/job/iderize-data-scientist.json","meta":{"generated_at":"2026-10-01T02:35:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1909,"day_limit":5000,"remaining_today":3091,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}