Senior Data Scientist - ML, Python
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning
I korthet
Der Senior Data Scientist ist entscheidend für die Umwandlung unstrukturierter Big Data in umsetzbare Erkenntnisse durch fortschrittliche Algorithmen und innovative Datenmodelle. Die Stelle konzentriert sich auf die Entwicklung von Strategien zur Verbesserung der Kundenbetreuung und Produktoptimierung unter Verwendung modernster Machine-Learning-Werkzeuge, um datengesteuerte Entscheidungen im Unternehmen zu fördern.
Ansvarsområden
- Design and implement advanced Machine Learning algorithms using Tensorflow and PyTorch to extract insights from large datasets, delivering customized analytical reports tailored to the needs of colleagues, clients, and stakeholders.
- Leverage Python and SQL to develop and optimize data models that address specific organizational challenges, ensuring effective integration and management of data.
- Analyze and mine large datasets to identify trends and patterns, utilizing advanced analytics techniques to interpret findings and provide actionable recommendations based on experimental results.
- Collaborate with cross-functional teams to identify opportunities for utilizing data insights to formulate strategic business solutions that enhance operational efficiency and product offerings.
- Create comprehensive visualizations and reports using data visualization tools to communicate complex analysis and results clearly, enabling informed decision-making for customers and stakeholders.
Krav
- 5+ years of relevant experience (REX) and 6+ years of technical experience (TEX).
- Proficiency in Machine Learning & NLP (Level 5).
- Proficiency in Python (Level 5).
- Proficiency in Natural Language Processing [NLP] (Level 5).
- Proficiency in Machine learning model evaluation (Level 5).
- Proficiency in Kafka, Apache Spark (Level 5).
- Familiarity with TensorFlow, PyTorch, XGBoost, LightGBM, NLTK, SpaCy, StatsModels.
- Knowledge of Cross-validation, ROC/AUC, Precision/Recall, F1-score, Confusion Matrix.
- Understanding of Supervised/Unsupervised Learning, Deep Learning, Time Series, Reinforcement Learning.
- Experience with Hadoop, Apache Kafka, Apache Airflow is good to have (Level 4).
Önskade kvalifikationer
- Location: Pan India or any constraint – Also mention location for physical attendance: Noida, Bangalore, Hyd, Chennai
- Project type: Dev
- Can work as Both Team Handler / Individual Contributor
- No specific shift involved.
- No customer interview involved.
- Notice Period: P1: 0-30 days; P2: 30-45 days; P3: 45-90 days.
Förmåner
- Optional but valuable certifications: Certified Data Scientist (CDS), Tensorflow Developer Certificate, or Professional Data Engineer Certification.
Färdigheter
Machine LearningPythonNLPTensorflowPyTorchSQLKafkaSparkNumPyPandasscikit-learnXGBoostLightGBMNLTKSpaCyStatsModelsCross-validationROC/AUCPrecision/RecallF1-scoreConfusion MatrixSupervised LearningUnsupervised LearningDeep LearningTime SeriesReinforcement LearningHadoop
#Data Science#Machine Learning#Python#NLP#Tensorflow#PyTorch#SQL#Kafka#Spark
Om HCLTech
Supercharging progress through technology and innovation
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…
Företag
HCLTechPublicerade jobb
för 4 dagar sedan
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Heltid
Arbetsform
På plats
Erfarenhetsnivå
Senior
Platser
Bengaluru, India
Noida, India
Hyderabad, India
Chennai, India
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