What are the responsibilities and job description for the Business Specialist - Data Analysis, Agi position at HCLTech?
Job Description
Responsible for coding and testing customized analytical models of medium to high degree of complexity. Must be able to implement best practices when writing and testing code. Familiarity with the life-cycle of a data science project and extensive experience with python is a must. Requires strong interpersonal and communication skills, and ability to construct GUI interfaces.
Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
Experience on building session-level models, and analyze the high-volume clickstream data from digital platform.
Proven experience in developing sequence modeling using RNN, Transformers, LSTM, XG Boost, Decision trees, Bayesian networks, Random forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
Experience / knowledge in Deep Learning model development using Tensorflow, Keras, PyTorch
Hands on experience in building ML workflows
Fluent with Natural Language Processing and Text Analytics libraries (NLTK, SpaCy)
Experience in Model implementation, Governance and monitoring.
Responsibilities include: Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.
Working experience in Python, R and SQL
Experience in Python data science packages such as numPy, SciPy and SciKit-learn
Nice To Have
Experience with Data Science Platforms (Dataiku, H2o, Azure )
Experience with one of Subversion/SVN, Git, GitHub, GitLab, Mercurial, or other version control system
Experience with cloud platforms AWS, Azure, GCP a plus
Knowledge in Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka
Familiar working in an AGILE environment
HCLTech is not the employer for this role. This work is contracted through a third-party whose employees provides services to HCLTech and/or its clients.
Candidates interested in applying for this Contract opportunity must have a valid work authorization to work in the United States. We do not accept agency resumes and are not responsible for any fees related to unsolicited resumes. Candidates who are currently employed by a client of HCLTech may not be eligible for consideration, as decided on an individualized basis depending upon business considerations.
The expected pay range for this contract assignment is shown above with the Job details. The exact pay rate will vary based on skills, experience, and location and will be determined by the third-party employer.
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
Responsible for coding and testing customized analytical models of medium to high degree of complexity. Must be able to implement best practices when writing and testing code. Familiarity with the life-cycle of a data science project and extensive experience with python is a must. Requires strong interpersonal and communication skills, and ability to construct GUI interfaces.
Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
Experience on building session-level models, and analyze the high-volume clickstream data from digital platform.
Proven experience in developing sequence modeling using RNN, Transformers, LSTM, XG Boost, Decision trees, Bayesian networks, Random forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
Experience / knowledge in Deep Learning model development using Tensorflow, Keras, PyTorch
Hands on experience in building ML workflows
Fluent with Natural Language Processing and Text Analytics libraries (NLTK, SpaCy)
Experience in Model implementation, Governance and monitoring.
Responsibilities include: Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.
Working experience in Python, R and SQL
Experience in Python data science packages such as numPy, SciPy and SciKit-learn
Nice To Have
Experience with Data Science Platforms (Dataiku, H2o, Azure )
Experience with one of Subversion/SVN, Git, GitHub, GitLab, Mercurial, or other version control system
Experience with cloud platforms AWS, Azure, GCP a plus
Knowledge in Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka
Familiar working in an AGILE environment
HCLTech is not the employer for this role. This work is contracted through a third-party whose employees provides services to HCLTech and/or its clients.
Candidates interested in applying for this Contract opportunity must have a valid work authorization to work in the United States. We do not accept agency resumes and are not responsible for any fees related to unsolicited resumes. Candidates who are currently employed by a client of HCLTech may not be eligible for consideration, as decided on an individualized basis depending upon business considerations.
The expected pay range for this contract assignment is shown above with the Job details. The exact pay rate will vary based on skills, experience, and location and will be determined by the third-party employer.
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.