Senior Data Scientist Jobs in Victoria, TX

About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Data Scientist for our Data & AI Practice. This role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: At least 3+ years of hands-on mathematical modeling experience in business environment Bachelor's degree in quantitative field like Computer Science, Engineering, Business Analytics, Statistics, Mathematics or related field required. Advanced degree is a strong plus Experience with Databricks is required Experience in R/Python and SQL Knowledge of statistical, data mining, machine learning(ML and MLOps), large language model(LLM) and AI techniques (regression, decision trees, clustering, neural networks, and deep learning frameworks, etc.) Strong SQL skills and proven experience in working with large datasets and relational databases Preferred Qualifications Experience in Hadoop, Spark, and cloud platform experience Experience in working with big data tools/environment, e.g. Hadoop Ecosystem (write complex HQL query, automate production pipeline, etc.), Spark, is a strong plus Experience with data visual analysis and BI tools like Tableau and Power BI Proven experience in working with cloud computing platforms particularly Azure is a strong plus Distinctive communications skills and ability to communicate analytical and technical content in an easy-to-understand way Ability to tell stories and make recommendations with data exploratory/visual analysis Intellectual curiosity, along with excellent problem-solving and quantitative skills, ability to disaggregate issues, identify root causes and recommend solutions Result-driven achievers and proven leaders with the ability to inspire others, build strong relationships, and create a true followership Strong people skills, team-orientation, and a professional attitude More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what's happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: · Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. · Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. · Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. · Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Neudesic also offers professional development and training for our Consultants. This includes opportunities to gain new technical certifications, develop professionally and grow within the company. Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************

We are a mid-sized Management Consulting, Automation, and Data/Process Science firm, established in 1993, serving Fortune 1000 companies throughout North America. We have developed a unique, template-based and data-centric approach to our client projects, which are conducted off-site from our Houston office. The Lab is proud to announce we have invested in a new office build out in the Galleria area. We are mindful of employee experience and currently operate at 50% capacity in the office. We are seeking a data scientist who is passionate about business processes, automation, operational data measurement, and the intellectual challenge analyzing them offers. The person we seek has previous experience in successful data science roles, performing strategic analysis and, or, operations improvement projects. The data scientist will be part of a management consulting and data science team that performs analysis on client data and assists with the development, implementation and integration of pioneering solutions using different methods, techniques and tools. You will ensure the rigor and underlying logic of the team's findings, optimize the analytical storyline and develop superior, easy to comprehend documentation operational analysis. The data scientist will be responsible for gathering, analyzing and documenting business processes, developing business cases, developing analytics dashboards and providing domain knowledge to the team. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Simultaneously, you will help senior management further standardize the consulting tasks and related work product with the objectives of: reducing analytical cycle time, lowering labor costs and reducing document rework and editing. As you become more familiar with our product offering, you will also contribute to the refinement and extension of our findings and tools database/website which includes benchmarks, best practices and thousands of business process maps. Responsibilities Interface with clients to gather operational data for analysis Analyze raw data from consulting client projects across multiple industries: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with team to bring analytical prototypes to production Generate actionable insights for business improvements Work alongside clients and internal team members to develop interactive, customer-facing business dashboards Work with internal team members to develop methods to transform data to prepare for analysis and reporting Manage the structure and functionality of our internal databases Maintain and build tools to assist our research teams in updating, organizing and expanding existing database content Navigate client roadblocks that slow down projects Proactively report to internal team and clients on overall progress, potential issues, areas of potential improvement, etc. Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows. The ability to work well on a team and in support of core business functions will be critical to the success of this role. Minimum Qualifications Master's or Bachelor's degree in Data Science, Computer Science, or related field 8 years of relevant experience Proven experience in data analytics and management of large datasets Proficiency in Python and data mining tools Strong interpersonal and collaborative skills Demonstrated ability to work in a team-oriented environment Excellent presentation skills Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company Ability to meet deadlines Preferred Qualifications Master's degree or PHD or certification in Data Science or Data Analytics 10 years of relevant experience Familiarity with additional programming languages (SQL, R, C++, etc.) Previous Oil and Gas operator experience Exposure to Petroleum Engineering and Geoscience workflows Exposure to the energy sector, particularly unconventional exploitation programs Candidate must be local to the Houston, TX area. This position is hybrid onsite 3 days per week.

We are seeking a highly skilled and experienced Senior Data Scientist with a specialization in AI/ML Engineering to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions that drive our business strategy forward. You will leverage advanced machine learning, deep learning, and neural network techniques to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms. This position offers the opportunity to be at the forefront of AI/ML advancements, applying your expertise to real-world industrial analytics. Key Responsibilities Solution Development: Engage in the ideation, prototyping, and implementation of new AI/ML solutions to meet emerging business requirements. Machine Learning Pipelines: Design, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Deep Learning Models: Develop, train, and optimize deep learning models using neural network architectures (e.g., CNNs, RNNs, Transformers, GANs) and frameworks such as TensorFlow, Keras, or PyTorch. Apply these models to solve complex problems in areas like computer vision, natural language processing (NLP), and time-series forecasting. Collaboration: Work closely with data architects, data engineers, and software developers to ensure effective data collection, processing, and storage. Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets. Exploratory Data Analysis: Perform exploratory data analysis to identify patterns, generate insights, and communicate findings to stakeholders. Model Optimization: Optimize model performance by addressing issues such as overfitting, underfitting, and bias, ensuring scalability and performance in production environments. Mentorship: Mentor junior data scientists in model development, data handling, and ethical considerations in AI/ML practices. Continuous Learning: Stay abreast of the latest advancements in machine learning and AI research, applying new methods to enhance model performance and scalability. Desired Skills and Experience Education: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field with 5+ years of relevant experience. Technical Proficiency: Expertise in Python and proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Experience with cloud platforms such as Azure, AWS, or Google Cloud for deploying big data and ML solutions. Deep Learning Expertise: Extensive hands-on experience in applying deep learning techniques and neural networks to real-world problems, particularly in industrial analytics. Proven ability to develop, train, and optimize models for high-impact applications such as image recognition, NLP, and multimodal modeling. Analytical Skills: Strong problem-solving, critical thinking, and analytical capabilities. Experience with both relational and non-relational databases, time-series data, and data visualization techniques. Communication: Excellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders clearly and effectively. Collaboration: A strong team player mindset capable of working collaboratively within diverse teams and contributing to an inclusive work environment. Continuous Learning: A pronounced passion for continuous learning and staying ahead in AI/ML fields, with enthusiasm for applying new technologies to solve real-world problems. Why Join Us: Join our cutting-edge Data Science & AI team and contribute to the future of AI/ML technology! In this role, you'll leverage Azure to drive innovation and operational excellence in our AI/ML initiatives. Here's what you can expect: Be at the forefront of AI/ML advancements, applying your skills to solve real-world problems. Collaborate with a talented team of Data Scientists, ML Engineers, and cloud experts. Work in a fast-paced environment that fosters continuous learning and growth. Make a significant impact on the company's success through the power of AI/ML.

Title: Senior Lead Data Scientist Overview of Role: As Lead Data Scientist, you will be responsible for driving the design, development, implementation, and enhancement of advanced data science initiatives, aligning directly with strategic objectives. This role involves translating innovative ideas into practical solutions using sophisticated analytical techniques such as machine learning, optimization, and cluster analysis. You will also lead and develop a newly formed data scientist team to deliver impactful analytical solutions, ensuring these innovations are integrated into business operations to drive decision-making, enhance efficiency, and cultivate a culture of continuous improvement and innovation. Company Description: Our client manages a large portfolio of companies and has a large focus on upholding integrity and being held accountable to the highest ethical standards. They are committed to fostering a culture of open communication, teamwork, and personal development. Role Description: Translate business needs into analytics/reporting requirements for data-driven decisions. Stay updated with the latest data science techniques and technologies, implementing innovative solutions to enhance data analysis and modeling capabilities. Communicate complex data insights effectively to stakeholders across the organization, including non-technical audiences. Manage use case design and build teams, providing guidance as they develop and operationalize data science models. Ensure analytical insights and products are integrated into business processes. Guide and approve analytics/modeling approach, model deployment requirements, and quality assurance standards. Provide input to the long-term plan for the Data Science team, focusing on talent acquisition and technology platforms. Foster a culture of innovation and continuous improvement, exploring and adopting new data science technologies and methodologies. Work with business and technical stakeholders to identify new technologies and opportunities that deliver measurable business value. Own the analytics solution portfolio, including model maintenance and improvements over time. Skills and Experience: Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or related field, with 5-7 years experience in a data science or similar role. Strong proficiency in Python and other relevant programming languages. Extensive knowledge and working experience with Machine Learning libraries/frameworks, and data processing/visualization tools. (PyTorch, Tensorflow, NumPy, etc.) Strong communication skills with experience presenting to stakeholders and breaking down technical topics to non-technical team members. Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark). Recent leadership experience with direct reportees. Experience in Supervised and Unsupervised Machine Learning. Good understanding of programming best practices and building highly automated CI/CD pipelines. Benefits: Health, Dental, and Vision Insurance 15+ Days of PTO Annually Educational Assistance available Annual bonus 401(k) Matching Program

MUST HAVE VISA IN PLACE OR BE ABLE TO WORK VIA W2 - NO SPONSORSHIP About the Company We are currently looking for a 80% remote “Data Scientist” to join a leading environmental company based in the Port Arthur, Texas. As the Data Scientist, you will be responsible for harnessing data to drive impactful environmental solutions About the Role Project Inspired by hazardous waste projects, this project was initiated to tackle the high complexity of operating a hazardous waste incinerator, such as the one in the Port Arthur plant. This project aims to enhance the incineration operation process at the plant and efficiently support operators by leveraging Artificial Intelligence (AI) to achieve their operational objectives. It is also expected to ensure business continuity, addressing the potential challenges posed by the retirement of experienced employees and the departure of expert knowledge from the group. This project is similar to the previous project, but there is one significant difference. While the hazardous waste project is designed to optimize the treatment volume of hazardous wastes on a daily basis, this project focuses on optimizing waste feeding, i.e. flowrates, to an incinerator. We propose a solution to optimize flow rates, aiming to achieve operational goals such as stable combustion, maximizing revenue, etc. For that, we first analyse the dataset with various statistical measures. Then, we present machine learning models that are used to evaluate if potential flowrate solutions are feasible. Finally, we present an optimization model designed to meet the business needs. Before introducing the proposed solution, in this chapter, we present the project timeline and business needs in the following sections. Responsibilities Develop and implement data models using Python to analyse environmental data. Utilise Google Cloud Platform to manage and process large datasets. Collaborate with cross-functional teams to translate data insights into actionable strategies. Present findings and recommendations to stakeholders to support decision-making processes. Qualifications ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Data Scientist, we are looking to identify the following on your profile and past history: Relevant degree in a scientific or technical field. Proven industry experience in data science or a related field. A working knowledge and practical experience with Python and Google Cloud Platform. Required Skills Key Words: Data Scientist / Python / Google Cloud Platform / Environmental Data / Data Modelling / Data Analysis / Cloud Computing / Texas / Environmental Sector / Contract Role Preferred Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications for any applicant who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.

⏱ Full-Time 🚀 About the Role Lead a talented team to design and deliver cutting-edge AI/ML solutions. Drive data innovation, solve complex problems, and shape the future of analytics across the organization. 🌟 Key Responsibilities: Build and deploy advanced machine learning models. Collaborate with business units to drive data-driven impact. Mentor a high-performing data science team. Set AI/ML best practices and standards. Present insights clearly to technical and non-technical audiences. 🛠 Skills You'll Need: 5-7+ years in data science, including team leadership. Expertise in Python, ML frameworks (TensorFlow, PyTorch), SQL, and cloud platforms (AWS, Azure, GCP). Experience with advanced techniques like supervised/unsupervised learning, optimization, and anomaly detection. Strong problem-solving, communication, and strategic thinking skills. 🏆 Bonus: Master's/Ph.D. in a relevant field. Certifications like Azure Data Scientist or AWS Machine Learning. 🌍 Why Join Us? Minimal travel (up to 20%). Values-driven, inclusive culture. Big opportunities in a collaborative, innovative environment. 📩 Apply now and lead the future of data science!

We are seeking Data Scientists and Machine Learning Engineers to join a team dedicated to pioneering advanced analytics and cutting-edge Generative AI (GenAI) solutions. You'll have the opportunity to design and implement transformative solutions addressing complex business challenges. If you are a skilled professional with a passion for machine learning, Data Science, cloud-based systems, and collaborative problem-solving, this is the opportunity for you to make a significant impact. Key Responsibilities Innovation and Analytics: Develop and deploy machine learning and generative AI models to deliver data-driven insights and optimize processes. Utilize frameworks such as TensorFlow, PyTorch, XGBoost, and Scikit-learn; fine-tune NLP models (e.g., BERT, GPT). Build and operationalize solutions for Document Intelligence using platforms like Azure Document Intelligence. Required Qualifications Educational Background: Bachelor's or Master's degree in Data Science, Mathematics, Computer Science, or a related field. Experience: 1 - 4 years in data technology development, including deploying ETL pipelines and machine learning models. Proven expertise with Python, Scala, Java, or similar programming languages. Proficiency with cloud platforms (AWS, Azure) and mixed Windows/Linux environments. Skills: Strong understanding of distributed systems, container services, and data architecture. Familiarity with dashboard and visualization tools is a plus. Commitment to accountability, transparency, diversity, and ethical decision-making. What We Offer A collaborative and inclusive work environment fostering innovation and excellence. Opportunities to work on cutting-edge GenAI applications and projects with real-world impact. Professional development through exposure to the latest AI/ML tools and techniques. If you are passionate about driving innovation in data science and engineering, we encourage you to apply and join a team shaping the future of AI-driven solutions.

Data Scientist with 4-8 years in Data Scientist, Python, Natural Language Processing (NLP), ML, AWS for a contract to hire position onsite. 100% onsite to the Coppell, Dallas area, must be local, no relocation. pays $45-50 W-2. Must be US Citizen, Green Card Holder or EAD in final stages of Green Card, no OPT, sponsorship. Working in all aspects of the data science cycle. What you will be doing: Solve business problems using but not limited to bootstrapping, decision trees, natural language processing (NLP) and market basket analysis Develop experimental and analytic plans for data modeling processes Build and operationalize data pipelines, analytical tools and decision support models Pursue predictive analytics opportunities to solve business problems Implement Gen AI to leverage artificial intelligence capabilities and enhance data analysis and modeling efforts Lots of data cleansing Developing, and maintaining dashboards and visualizations Communicating technical ideas to stakeholders What you will need: Bachelors in Data Analytics, Data Science or similar 4-8 years of experience as a Data Scientist Solid experience in data cleansing Coding in Python or R Experience in model building with frameworks such as Scikit-learn, TensorFlow, Transformer Experience with Natural Language Processing (NLP), GenAI, AI, ML, Machine Learning - Supervised and Unsupervised Machine Learning Experience in cloud, preferably AWS Writing and tuning SQL Experience performing thorough exploratory analysis Positive, can-do attitude, curious, self-driven, analytical and excited to play with data

Akkodis is seeking a Hadoop & ETL Developer for a Contract job with a client in Plano, TX & Jersey City, NJ. Candidates must have extensive experience with Agile Scrum methodologies to be considered for the position. You will be responsible for designing and developing scalable Pega applications and optimizing database performance to ensure high-quality solutions. Rate Range: $62/hour to $68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Hadoop & ETL Developer job responsibilities include: The role requires 10+ years of experience and focuses on providing leadership and deep technical expertise in solution design and application development within specific business environments. The position emphasizes setting technical direction for groups of applications and technologies while ensuring robust solutions that align with business, architecture, and technology constraints. Desired Qualifications: • Strong working knowledge of ETL, database technologies, big data and data processing skills • 5+ years of experience developing ETL solutions using any ETL tool like Informatica, SSIS, etc. • 5+ years of experience developing applications using Hadoop, Spark, Impala, Hive & Python. • 5+ years of experience in running, using and troubleshooting the ETL & Cloudera Hadoop Ecosystem i. e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume. • Experience on Autosys JIL scripting. • Proficient scripting skills i.e. Unix shell & Perl Scripting • Experience troubleshooting data-related issues. • Experience processing large amounts of structured and unstructured data with MapReduce. • Experience in SQL and Relation Database developing data extraction applications. • Experience with data movement and transformation technologies. • Good to have experience in Python / Scala programming If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *************************** or ************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Akkodis Privacy Policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance

6-month contract - No C2C for this hire. $55 - $65 per hour Dallas, TX - Hybrid 3x days per week Premier Group has engaged with a 75-employee organization who are seeking an experienced Data Engineer to join their team, working in a hybrid fashion out of their Dallas HQ. You will be the first Data Engineer within their Dallas HQ, working closely with their software team ensuring this seamless transition for the business as they look to bring their data in-house. They are requiring someone confident in designing, implementing and maintaining robust data pipelines and systems. Requirements: 5 years' experience with Python Strong experience with SQL Expertise in data modelling, ETL processes. Microsoft Azure experience. This is a hybrid role, so ideally you will already live within the DFW area and be able to start this contract on short notice. If you believe you have the experience to be suitable

Soft skills Quantitative Analytical Experience Mandatory Curiosity and analytical mindset Ability to learn new concepts and domains quickly Versatility to work in a partial greenfield environment Comfortable working with a broad scope with a geographically distributed team Able to work independently on a wide range of data engineering and analytical tasks Hard skills Very strong python with good code hygiene Experience developing and testing data processes e.g. ETL, scraping, transformation etc. Experience exploring and working with new datasets, assessing data quality and exploring for valuable insights - preferably with financial or time-series datasets Familiarity with orchestration tools e.g. Apache Airflow Good understanding of cloud solutions - we are AWS based. Experience working with distributed compute frameworks to handle large data volumes e.g. Spark Experience building visuals for expert and non-expert audiences - preferably using plotly/dash Good source control practices and some experience with CI/CD Comfortable building and deploying containerised solutions. Nice to have Experience developing and deploying machine learning models Experience working in financial markets Knowledge of best practices when back testing models. Day to Day Duties Implement data on-boarding (ETL, web-scraping, etc.) and database management Implement best practices for data transformation, manipulation, and storage solutions Build and maintain fundamental market models for supply and demand Build and maintain fundamental and price-based analytics (e.g. visualizations and dashboards) If I missed your call ! Please drop me a mail. Thank you, Harish Talent Acquisition Astir IT Solutions, Inc - An E-Verified Company Email:******************* Direct : ***********788 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080 ***************

Proven experience as a Big Data Engineer, with a focus on Snowflake. Relevant Snowflake certification (e.g., SnowPro Core Certification). Strong experience in designing and implementing data pipelines in production environments. Proficiency in SQL and experience with ETL tools and processes. Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their integration with Snowflake. Familiarity with data modeling, data warehousing concepts, and best practices. Experience with other big data technologies (e.g., Hadoop, Spark). Knowledge of programming languages such as Python or Java. Experience with data visualization tools (e.g., Tableau, Power BI). Snowflake, SQL, AWS Hadoop, Python or Java, Tableau Qualification: Bachelor's or master's degree in computer science or related field. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Design, develop, and maintain ETL pipelines using Databricks, PySpark, and ADF to extract, transform, and load data from various sources. Must have good skills in Pyspark, Programming, code remediation, etc., Must have good working experience on Delta tables, deduplication, merging with terabytes of data set Optimize and fine-tune existing ETL workflows for performance and scalability. 2 to 3 years of experience in ADF is desirable (Medium expertise required) Must have experience working with a large data set Proficient in SQL and must work on complex joins, Subqueries, functions, procedure One should be self-driven and work independently without support

Big Data (PySpark) Tech Lead- • 10+ Years Overall Experience in Data Management, Data Lake and Data Warehouse • 8+ Years Hadoop, Hive, Sqoop, SQL, Teradata • 8+ Years PySpark(Python and Spark), Unix • Good to have Industry leading ETL experience • Banking Domain experience Key Responsibilities • Ability to design, build and unit test applications on Spark framework on Python. • Build PySpark based applications for both batch and streaming requirements, which will require in-depth knowledge on majority of Hadoop and NoSQL databases as well. • Develop and execute data pipeline testing processes and validate business rules and policies • Optimize performance of the built Spark applications in Hadoop using configurations around Spark Context, Spark-SQL, Data Frame, and Pair RDD's. • Optimize performance for data access requirements by choosing the appropriate native Hadoop file formats (Avro, Parquet, ORC etc) and compression codec respectively. • Ability to design & build real-time applications using Apache Kafka & Spark Streaming • Build integrated solutions leveraging Unix shell scripting, RDBMS, Hive, HDFS File System, HDFS File Types, HDFS compression codec. • Build data tokenization libraries and integrate with Hive & Spark for column-level obfuscation • Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources. • Create and maintain integration and regression testing framework on Jenkins integrated with BitBucket and/or GIT repositories • Participate in the agile development process, and document and communicate issues and bugs relative to data standards in scrum meetings • Work collaboratively with onsite and offshore team. • Develop & review technical documentation for artifacts delivered. • Ability to solve complex data-driven scenarios and triage towards defects and production issues • Ability to learn-unlearn-relearn concepts with an open and analytical mindset • Participate in code release and production deployment. • Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment

Role/Title Snowflake Data Engineer Onsite/remote/hybrid : Onsite Duration Long Term Description for Internal Candidates Must have at least 8+ years of experience in Snowflake ,Data warehouse, ETL, BI projects Must have experience in Snowflake Data Base and query optimization. Mus have Python / PySpark Scripting experience Must have Data Modelling Experience Must have experience implementing complex stored Procedures and standard DWH and ETL concepts Must have experience in JIRA. Basic experience in AWS cloud - S3, Lambda Functions Good communication and Analytical skills Ready to work in Onsite/ Offshore model and manage offshore team Additional it would be good to have basic knowledge on Netezza DB, informatica & TALEND

ADVANCED ANALYTICS & MACHINE LEARNING HOLDING COMPANY (AUTOMOTIVE, RETAIL, SUPPLY CHAIN & MORE!) $180,000 - $220,000 HOUSTON, TX HYBRID (4 DAYS PER WEEK ON-SITE) Harnham is supporting a well-known consortium of businesses that are seeking a Lead Data Scientist to join their digital transformation which is currently towards the backend of it's first phase. THE ROLE & RESPONSIBILITIES As a Lead Data Scientist you will be: Translating business requirements into analytics products and reports to enhance data-driven decision making Utilizing the latest data science techniques and implementing innovative solutions to drive data analysis and modelling capabilities Work closely with senior stakeholders and acting as a key reference point for any organizational data requirements, including that of non-technical stakeholders Managing use case design, build teams and providing guidance on the development and operationalize of models Ensuring analytics and data products are integrated into business process Deliver long-term plans for the data science team including on talent acquisition and platforms Own the analytic solution portfolio, including model maintenance and improvements over time. YOUR SKILLS AND EXPERIENCE The successful Lead Data Scientist will have the following: Master's or PhD in Computer Science, Statistics, Applied Mathematics or related field 7+ years experience in a data science role Industry experience in automotive, supply chain, financial services, private equity or similar Excellent communication skills with experience presenting to technical and non-technical stakeholders Recent leadership experience sought after Strong knowledge of programming best practices HOW TO APPLY To register your interest please send your resume to Luke via the apply link on this page. Desired Skills and Experience successful Lead Data Scientist will have the following: - Master's or PhD in Computer Science, Statistics, Applied Mathematics or related field - 7+ years experience in a data science role - Industry experience in automotive, supply chain, financial services, private equity or similar - Excellent communication skills with experience presenting to technical and non-technical stakeholders - Recent leadership experience sought after - Strong knowledge of programming best practices

About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Data Scientist for our Data & AI Practice. This role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: At least 3+ years of hands-on mathematical modeling experience in business environment Bachelor's degree in quantitative field like Computer Science, Engineering, Business Analytics, Statistics, Mathematics or related field required. Advanced degree is a strong plus Experience with Databricks is required Experience in R/Python and SQL Knowledge of statistical, data mining, machine learning(ML and MLOps), large language model(LLM) and AI techniques (regression, decision trees, clustering, neural networks, and deep learning frameworks, etc.) Strong SQL skills and proven experience in working with large datasets and relational databases Preferred Qualifications Experience in Hadoop, Spark, and cloud platform experience Experience in working with big data tools/environment, e.g. Hadoop Ecosystem (write complex HQL query, automate production pipeline, etc.), Spark, is a strong plus Experience with data visual analysis and BI tools like Tableau and Power BI Proven experience in working with cloud computing platforms particularly Azure is a strong plus Distinctive communications skills and ability to communicate analytical and technical content in an easy-to-understand way Ability to tell stories and make recommendations with data exploratory/visual analysis Intellectual curiosity, along with excellent problem-solving and quantitative skills, ability to disaggregate issues, identify root causes and recommend solutions Result-driven achievers and proven leaders with the ability to inspire others, build strong relationships, and create a true followership Strong people skills, team-orientation, and a professional attitude More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what's happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: · Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. · Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. · Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. · Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Neudesic also offers professional development and training for our Consultants. This includes opportunities to gain new technical certifications, develop professionally and grow within the company. Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************

Hi, Good Morning, Hope you are doing well. . Role - Data Engineer Must Have - Java, Spark, Bigdata, Springboot, Rest API , AWS, Unix, and Kubernetes , Python . Job Description - Client expecting experience in Java with Big data, Spark, AWS . Ability to take process high-level business requirements, ask clarifying questions, take in information from multiple sources, and derive full-fledged implementation plans.