Hello Recruiter – HCL is hiring for multiple role.

Greetings,

Hope you’re doing great!

This is Aniket and I am a Staffing Specialist at ALOIS Solutions.

We help find right talent for our clients in different industries across the globe. I came across your profile from one of the job portals and I am reaching out to you on an exciting job opportunity with one of our clients.

Please go through below job details. If you’re interested, I’d love to connect with you and take your profile ahead to our client. Please reply to this email with your updated resume and your availability to connect for us to discuss further. Alternatively, you may also call or text me at (530) 379-1453.

Job Description:

About client:

HCL Tech. has been a part of the United States’ growth and technological advancement since 1989, when we commenced operations with our first office in the heart of Silicon Valley. The company has over three decades of history in the United States, with a nationwide workforce of 22,700 employees, 71% of whom are locally hired and operating from multiple global technology centres and innovation labs

Skill / Role	Positions	Location
DSA/BIA	2	San Antonio TX
DSA/BIA	2	San Antonio TX
Data Sciecne / Gen AI	2	San Antonio TX
Data Sciecne / Gen AI	1	San Antonio TX
ML Engineer / MLOps	2	San Antonio TX
ML Engineer / MLOps	2	San Antonio TX
Information Governance Architect	2	San Antonio TX
Data Visualization SME	1	San Antonio TX
Data Visualization SME	1	San Antonio TX

Decision Science Analyst (DSA) / Business Intelligence Analyst (BIA)

Job responsibilities:

Apply statistical and mathematical techniques and provide decision support for business
Gather, manipulate and synthesize data, models to draw conclusions and make recommendations
Leverage business/ analytical knowledge to participate in discussions with cross functional teams
Document assumptions, methodology, validation and testing
Present results and recommendations to wider audiences
Use visualization techniques to support your argument
Support identifying and gathering the relevant and quality data sources required through testing or exploratory data analysis (EDA).
Utilize data & analytics to provide superior actionable business insights and recommendations

Preferred Skills & Qualifications:

Degree in Economics, Mathematics. Finance, Statistics, or any other quantitative discipline with 8 years of experience in Quantitative analytics field
Strong Expertise and Experience in SQL, SAS, and Tableau.
Demonstrate competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Working knowledge of identifying, documenting and analyzing business and/or data requirements
Knowledge of industry best practices
Experience in developing reports and Dashboards
Expertise in deriving insights from various analysis and present outcomes to different set of stakeholders.
Working experience in financial domain in preferred

Machine Learning /MLOps Engineer

Job responsibilities:

Implementing Data Ingestion pipelines for Batch and streaming data at petabyte scale
Experience in building and deploying machine learning / AI models in the cloud
Run machine learning tests / experiments and perform statistical analysis and fine-tuning using test results
To research, experiment with, and implement suitable ML algorithms and tools.
Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
Optimize data delivery and re-design infrastructure for greater scalability
Identify, design, and implement internal process improvements

Preferred Skills & Qualifications:

Computer Science / Computer Engineering Degree with Minimum of 8 years data Engineering experience including 3 years of MLOps experience.
Experience in requirement gathering, analysis and solution design.
Proficient in Python and strong in SQL.
Experience in data and ML pipeline implementation using Python/R/SQL/Docker/Kubernetes/Domino Data Lab .
Experience in Snowflake, AWS, and Kafka.
Experience in Scheduling tools like Control-M and Airflow.
Experience in Agile development methodologies.
Deep knowledge of math, probability, statistics, and algorithms
Excellent algorithm and data structure skills
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
Excellent interpersonal and collaboration skills

Additional skills :

Experience in Gen-AI and AWS sagemaker is a plus.
Certified in Snowflake and AWS is a plus.
Experience in Financial Domain is a plus.

Data Scientist / Gen AI Professionals

Responsibilities

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.
Build various ML Models within the Model guidelines and framework.
Consults with peers for guidance, as needed.
Translates business requirements into specific analytical questions, build ML Models and present model outcomes to non-technical business colleagues.
Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions
Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML.
Collaborate with data governance teams to ensure compliance with regulatory requirements and industry and legal standards related to data quality and privacy.
Able to identify GenAI use cases given in various business scenarios and come up with possible solutions.
Familiar with various GenAl technologies, Prompt Engineering, RAG etc

Skills & Qualifications

10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles
Master’s degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science)
Experience in Building and validating statistical, machine learning, and other advanced analytics models.
Experience in Regression (multiple, Logistic etc), Classification (Decision Tree, Random Forest, XGBoost etc) and Time series Forecasting models (ARIMA), Segmentation, NLP, Deep Learning and Graph Analytics.
Experience in Data Mining, Python, R, SQL, and familiarity with ML technologies
Experience in using ML Libraries.
Working Experience in Domino Data Lab, AWS Sagemaker, Snowflake are a plus
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data.
Ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.

Information Management/ Information Governance Architect

Role	IGC Architect
Mandatory required skills	Alation, Bigeye, IBM IGC, IA, SQL
Preferred/Desired skills	Alation, Bigeye, IBM IGC, IA, SQL
Detailed Job Description	Coordinate on Data & Analytics on new requirements, priorities and deliverables. Instrumental to set up and establish best practices across the organization to govern data (processes, roles, policies, tools, etc.) Develop necessary artefacts to support the data governance organization Collaborate with stakeholders from multiple disciplines to translate data requirements into clearly defined and easily understood documents (data glossaries, dictionaries, policies, data flows, etc.) Support and orchestrate the data governance team(s) to set priorities and implement data governance practices Drive discussions with the data governance teams(s) to help set up data policies to govern data Collaborate with the data governance team(s) to scale to the entire business and empower them to become self-sufficient to govern data Identify strengths and weaknesses in the data governance organization to recommend ways to improve Facilitate processes to address transversal, cross-business data governance issues Help set-up smooth processes between business and IT to implement solutions to govern data Lead initiatives with data governance tool(s) (e.g. MDM, meta-data management, data quality reporting) Measure and monitor data quality Define, drive and prioritize data quality remediation plans.

Position Description Data Visualization SME (Tableau)

As a Data Visualization SME, an individual is responsible for designing and developing Dashboards according to application requirements and demands of the business. Responsible for the development and administration. Their main duty is to transform raw data into meaningful insights. This is accomplished through interactive and user-friendly dashboards and reports.

The role of an SME is vital for businesses because of the executive, strategic, and managerial roles and responsibilities that come with it. Professionals are expected to perform a wide range of tasks such as reporting, building dashboards, building data models, analyzing datasets, and administration. Needs to be quality and customer focused when approaching a new product. He / She needs well-developed reporting and design research skills, along with excellent written and verbal communication abilities.

Key Responsibilities

• Overall, 8-10 years or relevant experience

• Designing dashboards with the use of visualization tools using Tableau, Power BI

• Using SQL for managing large volume of data

• Communicating with customers to analyze historical data and identify KPIs

• Improving data processing speed by building SQL automations

• Tweaking SQL Queries for best performance

• Making sure the team delivers reports as per the requirements

• Analyzing the data so as to identify trends and share insights

• Innovating and implementing mobile dashboards with the help of native features

• Recognizing areas for automation

• Restricting data for particular users with the help of User filters / Persona experiences

• Producing support documentation and keep existing documentation up to date

• Carrying out investigation of root cause analysis

Must Have Skills Setting Best-in-class visualization and usability standards for Business Dashboards, Reports through BI Reporting Tools (ex: Tableau, Power BI, Qlik, MicroStrategy

About ALOIS Solutions: ALOIS is a premier staffing and recruitment solutions provider to Fortune 1000 companies in regions like the United States, Europe, India and Asia-Pacific. We have vast experience placing top talent in roles across diverse verticals such as Information Technology, Healthcare, Pharmaceutical, Engineering, Light Industrial and Professional. ALOIS fosters diversity in its workforce, ensuring all employees are respected & valued. We bring together people of varying nationality, ethnicity, gender, physical ability, religious belief, sexual orientation and socio-economic backgrounds. To know more about us, please visit us at www.aloissolutions.com.

Thank you,