Temporary Data Science R Jobs (NOW HIRING)

Job Summary:
Info Way Solutions is seeking a Data Science professional to join their team. The role involves statistical modeling, data extraction, and the implementation of machine learning algorithms to derive insights from structured and unstructured datasets.
Responsibilities:
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
• Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools
• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
• Experience with cloud services such as : Azure Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Qualifications:
Required:
• Experience 9+
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
• Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools
• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
• Experience with cloud services such as: Azure Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.