Data Scientist

Data Scientist Austin, TX (Day 1 onsite / 5 Days onsite) Long Term Python: 3+ Years ML:3+ Years Data Analysis: 3+ Years PySpark: 3+ Years Responsibilities Experience should be 3-5 years Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist or Data Analyst Understanding of machine-learning and operations research Should have exposure in Python Exposure in R, SQL, Git, Neo4j, , Comet ML, Snowflake, dbt, Docker Exposure using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Exposure Analytical mind and business acumMachine Learning Linear & Logistic Regression, Tree-based algorithms (Bagging, Boosting, LightGBM), KNN, K-means, PCA, Agent Based Modelling, ARIMA, CNN, LSTM, Transformers Exposure in Big Data technologies PySpark, Hadoop, AWS (Athena, S3, EMR, Lambda, SageMaker)en Certifications Preferred:: AWS Certified Machine Learning - Specialty, TensorFlow Developer Certificate, Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

**-** **Thanks & Regards** **Sridhar G** **Account Manager** **Torque Technologies LLC** **Minority Business Enterprise (MBE) Certified | Member of IT Serve Alliance** **An E-Verified Company | INC 5000 Company** 1135 Kildaire Farm Road, Suite #200, Cary, NC, 27511 P: (919)234-7515 | F: 203-547-6447 E: sridhar@torquetek.com Linkedin: linkedin.com/in/sridhar-g-a956a398 Torque Technologies LLC is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.