What Data Acquisition Jobs are in Nigeria?
Showing 32 Data Acquisition jobs in Nigeria
Geophysicist - Seismic Data Acquisition & Processing
300211 Benin City / Remote
Placements24
Posted 5 days ago
Job Viewed
Job Description
About the Role Our client, an independent oil and gas exploration company, is seeking a highly skilled Geophysicist to join their remote team. This role focuses on seismic data acquisition planning, processing oversight, and interpretation to identify and delineate hydrocarbon prospects. You will work with large, complex seismic datasets, utilizing advanced processing techniques and interpretation software to unravel subsurface structures and stratigraphy. The ideal candidate possesses a strong understanding of seismic physics, signal processing, and geological applications of geophysical data. This fully remote position requires excellent analytical capabilities, a meticulous approach to data quality, and the ability to collaborate effectively with geologists, reservoir engineers, and other geoscientists across different time zones. This is an exciting opportunity to contribute to exploration efforts in a dynamic and challenging environment. Key Responsibilities
- Plan and design seismic acquisition surveys, ensuring optimal data quality and coverage.
- Oversee and quality control seismic data processing workflows, from raw data to final PSTM/PSDM volumes.
- Interpret 2D and 3D seismic data to identify geological structures, stratigraphic traps, and potential hydrocarbon indicators.
- Integrate seismic data with other geological and well log information for comprehensive subsurface understanding.
- Conduct amplitude variation with offset (AVO) analysis and other attribute studies.
- Perform velocity analysis and depth conversion.
- Contribute to prospect evaluation, risking, and volumetric assessment.
- Collaborate with internal teams and external vendors on seismic acquisition and processing projects.
- Stay current with advancements in seismic acquisition, processing, and interpretation technologies.
- Prepare technical reports, maps, and presentations to communicate findings and recommendations.
- Master's degree or Ph.D. in Geophysics, Geology, or a related Earth Science field.
- Minimum of 7 years of experience in seismic data acquisition, processing, and interpretation in an E&P environment.
- Proficiency with industry-standard seismic processing software (e.g., Petrel, GeoDepth, OMV).
- Strong understanding of seismic wave propagation, acquisition parameters, and processing sequences.
- Experience with 2D/3D seismic interpretation, attribute analysis, and volumetric calculations.
- Knowledge of geological principles and their application to seismic interpretation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective written and verbal communication skills for remote collaboration.
- Ability to work independently and manage time effectively in a remote setting.
- Experience in onshore and/or offshore exploration is desirable.
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0
Geophysicist - Seismic Data Acquisition and Processing
132111 Sokoto
Placements24
Posted 9 days ago
Job Viewed
Job Description
About the Role Our client, a dynamic exploration company in the **Oil & Gas** sector, is seeking a highly skilled Geophysicist to join their team in **Sokoto, Sokoto, NG**. This role is crucial for interpreting seismic data to identify potential hydrocarbon reservoirs and support exploration and development activities. You will be responsible for the acquisition, processing, and interpretation of seismic data, employing advanced geophysical techniques. The ideal candidate will possess a strong theoretical background in geophysics coupled with practical experience in data analysis and interpretation using industry-standard software. This is a fantastic opportunity to contribute to significant exploration projects in a key region. You will collaborate closely with geologists, reservoir engineers, and other geoscience professionals to build integrated subsurface models. We are looking for an individual passionate about uncovering the Earth's subsurface secrets and contributing to the strategic growth of our client's portfolio. The role demands rigorous analytical skills, attention to detail, and the ability to communicate complex findings effectively to both technical and non-technical audiences. Our client is committed to providing a stimulating work environment that encourages professional growth and fosters innovation in exploration geoscience. We believe in leveraging cutting-edge technology to push the boundaries of subsurface understanding and resource discovery. You will be an integral part of a team dedicated to excellence in geophysical exploration. Key Responsibilities
- Plan and oversee seismic data acquisition operations, ensuring optimal data quality.
- Process seismic data using industry-standard software to enhance signal-to-noise ratio and geological resolution.
- Interpret 2D and 3D seismic data to identify geological structures, stratigraphic traps, and potential hydrocarbon indicators.
- Perform velocity analysis, seismic attribute analysis, and AVO (Amplitude Variation with Offset) studies.
- Integrate seismic interpretations with well log data, core data, and other geological information.
- Generate subsurface maps, cross-sections, and models.
- Contribute to exploration risk assessment and prospect evaluation.
- Stay updated with the latest advancements in geophysical technologies and methodologies.
- Collaborate with internal teams and external partners on geophysical projects.
- Prepare technical reports and presentations on geophysical findings.
- Master's degree or PhD in Geophysics, Earth Sciences, or a related field.
- Minimum of 7 years of experience in geophysical exploration, with a focus on seismic data processing and interpretation.
- Proficiency in geophysical software packages (e.g., Petrel, HampsonRussell, OpendTect, Kingdom Suite).
- Strong understanding of seismic wave propagation, data acquisition techniques, and processing workflows.
- Experience with both 2D and 3D seismic data interpretation.
- Knowledge of structural geology and sequence stratigraphy.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work effectively in a multidisciplinary team environment in **Sokoto, Sokoto, NG**.
- Experience in the Nigerian **Oil & Gas** basin is an advantage.
- Competitive salary package.
- Comprehensive health and wellness benefits.
- Performance-based bonuses.
- Opportunities for professional development and attending industry conferences.
- Generous annual leave and holiday allowance.
- A challenging and rewarding work environment.
- Exposure to diverse geological settings and advanced exploration technologies.
- Potential for career advancement within a growing company.
- Supportive team culture focused on collaboration and knowledge sharing.
- Work in the historically rich region of **Sokoto, Sokoto, NG**.
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1
Job Description
**Job Identification:**
**Job Category:** Culinary
**Job Schedule:** Full time
**Exceptional Hospitality Starts with You**
Picture yourself brightening someone's day. When you join our Hotels team, that's exactly what you'll do every time you come to work! As a **Chef de Partie** , you're not just overseeing the preparation of high-quality dishes - you're spreading the light and warmth of hospitality by delivering memorable experiences that make the stay for every guest.
Here's what you'll do during a typical day:
+ **Prepare great tasting dishes:** Season, cook, and test dishes according to standard recipes, ensuring consistency in taste and presentation
+ **Supervise the kitchen team:** Oversee line cooks to ensure and provide support as needed in the absence of senior chefs to ensure smooth and efficient operations
+ **Maintain kitchen cleanliness:** Keep all work areas clean, tidy, and free of cross-contamination
+ **Ensure food quality and storage compliance:** Monitor ingredient quality, ensuring proper storage and stock rotation
+ **Assist with cost management:** Contribute to controlling food costs, improving gross profit margins, and meeting departmental financial targets
+ **Uphold regulatory standards:** Maintain compliance with health, safety, sanitation, and alcohol awareness regulations, ensuring the highest standards of guest and team member wellbeing
**What It Takes to Make the Stay**
At Hilton, our core values define what it takes to succeed here and guide the qualities we look for in every team member:
A passion for spreading the light and warmth of **Hospitality** . Acting with **Integrity** and always doing the right thing. Inspiring others through **Leadership** . A belief that **Teamwork** drives the best outcomes. A sense of **Ownership** and accountability. And a focus on the **Now** , bringing urgency and discipline to every moment, knowing it can make a lasting impact.
**Join an Award-Winning Workplace Culture**
At Hilton, we don't just deliver exceptional experiences for our guests-we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we've welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality.
Our award-winning culture has earned us repeated recognition on the World's Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands ( , and a company-wide commitment to providing the best stay for every guest, we're setting new standards for the future of travel.
Whether you're starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career-and help us make every stay a little more magical.
Curious about life at Hilton? Explore our Careers Blog ( to see why we're more than a great place to stay-we're a great place to work.
**Job Category:** Culinary
**Job Schedule:** Full time
**Exceptional Hospitality Starts with You**
Picture yourself brightening someone's day. When you join our Hotels team, that's exactly what you'll do every time you come to work! As a **Chef de Partie** , you're not just overseeing the preparation of high-quality dishes - you're spreading the light and warmth of hospitality by delivering memorable experiences that make the stay for every guest.
Here's what you'll do during a typical day:
+ **Prepare great tasting dishes:** Season, cook, and test dishes according to standard recipes, ensuring consistency in taste and presentation
+ **Supervise the kitchen team:** Oversee line cooks to ensure and provide support as needed in the absence of senior chefs to ensure smooth and efficient operations
+ **Maintain kitchen cleanliness:** Keep all work areas clean, tidy, and free of cross-contamination
+ **Ensure food quality and storage compliance:** Monitor ingredient quality, ensuring proper storage and stock rotation
+ **Assist with cost management:** Contribute to controlling food costs, improving gross profit margins, and meeting departmental financial targets
+ **Uphold regulatory standards:** Maintain compliance with health, safety, sanitation, and alcohol awareness regulations, ensuring the highest standards of guest and team member wellbeing
**What It Takes to Make the Stay**
At Hilton, our core values define what it takes to succeed here and guide the qualities we look for in every team member:
A passion for spreading the light and warmth of **Hospitality** . Acting with **Integrity** and always doing the right thing. Inspiring others through **Leadership** . A belief that **Teamwork** drives the best outcomes. A sense of **Ownership** and accountability. And a focus on the **Now** , bringing urgency and discipline to every moment, knowing it can make a lasting impact.
**Join an Award-Winning Workplace Culture**
At Hilton, we don't just deliver exceptional experiences for our guests-we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we've welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality.
Our award-winning culture has earned us repeated recognition on the World's Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands ( , and a company-wide commitment to providing the best stay for every guest, we're setting new standards for the future of travel.
Whether you're starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career-and help us make every stay a little more magical.
Curious about life at Hilton? Explore our Careers Blog ( to see why we're more than a great place to stay-we're a great place to work.
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This advertiser has chosen not to accept applicants from your region.
2
Senior Data Scientist & Machine Learning Engineer
630231 Ekiti
Placements24
Posted 1 day ago
Job Viewed
Job Description
About the Role Our client is looking for a highly analytical and results-oriented Senior Data Scientist & Machine Learning Engineer to join our growing analytics team in Ado-Ekiti, Ekiti, NG . This role is critical for driving data-informed decision-making and developing sophisticated machine learning models that solve complex business problems. You will work with large datasets, apply advanced statistical and machine learning techniques, and collaborate with various departments to translate data insights into actionable strategies. We are committed to leveraging data to innovate and optimize our services, and your expertise will be central to this mission. This position requires a blend of strong technical skills, business acumen, and a passion for uncovering hidden patterns in data. You will be instrumental in building predictive models, improving algorithms, and communicating findings to stakeholders. We foster a culture of continuous learning and encourage exploration of new technologies and methodologies in the data science field. This is an exciting opportunity to make a significant impact in a challenging and rewarding environment.
Key Responsibilities
Requirements
Benefits
Key Responsibilities
- Develop, train, and deploy machine learning models to address business challenges, such as prediction, classification, and recommendation systems.
- Perform in-depth data analysis, exploration, and feature engineering on large, complex datasets.
- Design and implement A/B tests and other experiments to validate model performance and business impact.
- Collaborate with engineering teams to integrate machine learning models into production systems.
- Create compelling data visualizations and communicate complex findings clearly to both technical and non-technical audiences.
- Stay up-to-date with the latest research and advancements in data science and machine learning.
- Build and maintain data pipelines for model training and evaluation.
- Identify opportunities for leveraging data to drive business growth and operational efficiency.
- Contribute to the overall data strategy and best practices within the organization.
- Mentor junior data scientists and analysts.
Requirements
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science and machine learning.
- Strong programming skills in Python or R, including experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Proven experience in developing and deploying machine learning models into production environments.
- Solid understanding of statistical modeling, experimental design, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
- Proficiency in data visualization tools and techniques.
- Excellent analytical and problem-solving skills, with a keen attention to detail.
- Strong communication and presentation skills.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Ability to work independently and as part of a team in a fast-paced environment.
Benefits
- Highly competitive salary and performance bonus.
- Comprehensive healthcare coverage.
- Generous paid time off and retirement savings plan.
- Opportunities for continuous learning and professional development, including workshops and conferences.
- Exposure to cutting-edge data science and ML technologies.
- Collaborative and intellectually stimulating work environment.
- Relocation assistance may be available for qualified candidates.
- Regular team events and social activities.
- Chance to make a significant impact on business strategy through data.
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3
Job Description
About the Role Our client is a leading data analytics firm seeking a skilled AI/ML Data Engineer to join their team in **Kaduna**. This role is integral to building and maintaining the data infrastructure that powers our advanced machine learning models and artificial intelligence initiatives. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring data quality, and making large datasets accessible and usable for data scientists and ML engineers. The ideal candidate possesses a strong understanding of data warehousing, ETL processes, and big data technologies, coupled with experience in cloud environments. This is a fantastic opportunity to work with diverse datasets and cutting-edge technologies in a collaborative environment, contributing significantly to data-driven decision-making within **Kaduna**'s growing tech sector. Key Responsibilities
- Design, build, and maintain scalable and reliable data pipelines for AI/ML applications.
- Develop and optimize ETL (Extract, Transform, Load) processes to ingest and process large volumes of data.
- Ensure data quality, integrity, and consistency across various data sources.
- Collaborate with data scientists and ML engineers to understand their data requirements and provide solutions.
- Implement data warehousing solutions and manage data schemas.
- Work with big data technologies (e.g., Spark, Hadoop) and distributed computing frameworks.
- Optimize data retrieval and processing for efficient model training and inference.
- Monitor data pipelines and troubleshoot any issues that arise.
- Implement data governance and security best practices.
- Stay updated with the latest trends and technologies in data engineering and MLOps.
- Document data flows, schemas, and processes thoroughly.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related quantitative field.
- 3+ years of experience in data engineering, with a focus on supporting AI/ML projects.
- Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
- Hands-on experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Proficiency in programming languages commonly used in data engineering, such as Python or Scala.
- Experience with cloud data platforms (AWS Redshift/S3/EMR, GCP BigQuery/GCS/Dataproc, Azure Data Lake/Databricks).
- Familiarity with data warehousing concepts and ETL tools.
- Understanding of machine learning concepts and data requirements for model building.
- Experience with containerization (Docker) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
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4
Job Description
About the Role Our client is seeking a highly skilled and experienced Senior AI Data Engineer to join their talented team in Abeokuta, Ogun, NG . This role is critical for building and managing the robust data infrastructure required to support advanced AI and machine learning initiatives. You will be responsible for designing, developing, and optimizing data pipelines, ensuring the availability, quality, and accessibility of data for AI models. This is an exciting opportunity to work with large datasets, cutting-edge technologies, and contribute to impactful AI projects that drive business value. The position is based in our modern office in Abeokuta , fostering collaboration and knowledge sharing. Our client is committed to creating a data-driven culture and investing in the talent that makes it possible. You will play a key role in enabling the success of our AI endeavors. Key Responsibilities
- Design, build, and maintain scalable and efficient data pipelines for AI/ML applications.
- Develop and manage ETL/ELT processes for ingesting, transforming, and loading data from various sources.
- Ensure data quality, integrity, and reliability for AI model training and inference.
- Optimize data storage and processing for performance and cost-efficiency.
- Collaborate with data scientists and ML engineers to understand data requirements and provide suitable solutions.
- Implement data governance and security best practices.
- Work with big data technologies and distributed systems.
- Monitor data pipelines and troubleshoot any issues that arise.
- Evaluate and recommend new data technologies and tools.
- Document data architectures, pipelines, and processes.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 5+ years of experience in data engineering, with a focus on supporting AI/ML workloads.
- Proficiency in programming languages such as Python, SQL, or Scala.
- Experience with big data technologies (e.g., Spark, Hadoop, Hive).
- Strong understanding of data warehousing concepts and database technologies (relational and NoSQL).
- Experience with cloud platforms (AWS, Azure, GCP) and their data services.
- Familiarity with data pipeline orchestration tools (e.g., Airflow, Prefect).
- Knowledge of data modeling and schema design.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Experience with MLOps principles is a plus.
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5
Lead Machine Learning Engineer, Big Data
450211 Owerri / Remote
Placements24
Posted 3 days ago
Job Viewed
Job Description
About the Role
Our client, a fast-growing technology innovator, is seeking a highly skilled and experienced Lead Machine Learning Engineer with expertise in Big Data to join their fully remote team. This role is critical in designing, developing, and deploying scalable machine learning solutions that leverage massive datasets to drive business insights and product innovation. You will lead a team of talented engineers, architecting robust ML pipelines, and implementing cutting-edge algorithms. The ideal candidate possesses a strong foundation in machine learning, deep learning, big data technologies, and software engineering best practices. This is an exceptional opportunity to shape the future of data-driven products and influence technological strategy in a dynamic, collaborative, and remote-first environment. We are looking for a proactive leader passionate about harnessing the power of data.
Key Responsibilities- Lead the end-to-end development and deployment of large-scale machine learning models and systems.
- Architect and implement efficient data pipelines for collecting, processing, and transforming big data for ML applications.
- Design and build scalable ML infrastructure using big data technologies (e.g., Spark, Hadoop, Flink).
- Develop and optimize advanced ML algorithms, including deep learning models, for various business problems.
- Collaborate with data scientists, product managers, and other engineers to understand requirements and deliver impactful solutions.
- Mentor and guide junior machine learning engineers, fostering technical growth and best practices within the team.
- Stay current with the latest advancements in machine learning, artificial intelligence, and big data technologies.
- Ensure the performance, scalability, and reliability of deployed ML models and systems.
- Implement MLOps practices for continuous integration, continuous deployment, and monitoring of ML pipelines.
- Communicate complex technical concepts and project progress effectively to both technical and non-technical stakeholders.
- Ph.D. or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of professional experience in machine learning engineering, with a significant focus on big data technologies and scalable systems.
- Proven track record of leading ML projects from development to production deployment.
- Deep expertise in machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Extensive experience with big data technologies such as Apache Spark, Hadoop ecosystem (HDFS, MapReduce, Hive), and distributed databases.
- Strong programming skills in Python, Scala, or Java, and experience with relevant ML libraries.
- Proficiency in MLOps principles and tools for managing the ML lifecycle.
- Excellent leadership, mentoring, and team collaboration skills.
- Strong analytical and problem-solving abilities.
- Effective communication and presentation skills.
- Experience working in a distributed/remote team environment is highly desirable.
This fully remote position offers unparalleled flexibility and the ability to work from anywhere. Our client provides a highly competitive salary and bonus structure. Comprehensive health, dental, and vision insurance are standard. A generous remote work stipend is provided to support your home office setup. Opportunities for continuous learning through online courses, workshops, and conference attendance are available. A 401k or equivalent retirement savings plan with company matching is offered. Employees enjoy ample paid time off, promoting work-life balance. Our client is committed to fostering a diverse and inclusive remote workforce.
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6
Senior Data Engineer (Big Data Specialist)
450241 Aba / Remote
Placements24
Posted 5 days ago
Job Viewed
Job Description
About the Role
Our client, a rapidly growing data analytics firm, is seeking a seasoned Senior Data Engineer to join their team in Aba . This role is critical for designing, building, and maintaining robust and scalable data pipelines and infrastructure that support our organization's big data initiatives. You will be instrumental in collecting, processing, and transforming vast amounts of data from various sources, ensuring data quality, and making it accessible for analysis by data scientists and business analysts. The ideal candidate possesses a strong background in data warehousing, ETL processes, distributed computing, and cloud data platforms. If you are passionate about building efficient data systems and thrive in a collaborative environment, this opportunity in Aba is for you.
Key Responsibilities- Design, develop, and maintain scalable and reliable data pipelines for batch and real-time data processing.
- Build and optimize data warehouses, data lakes, and data marts to support business intelligence and analytics.
- Implement ETL/ELT processes to extract, transform, and load data from diverse sources into our data platforms.
- Develop and manage data models that ensure data integrity and optimize query performance.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Implement data quality checks and monitoring to ensure data accuracy and completeness.
- Optimize data infrastructure for performance, scalability, and cost-effectiveness.
- Work with distributed computing frameworks such as Apache Spark or Hadoop.
- Deploy and manage data solutions on cloud platforms like AWS, Azure, or GCP.
- Ensure data security, governance, and compliance best practices are followed.
- Automate data-related processes and workflows wherever possible.
- Stay up-to-date with the latest advancements in data engineering technologies and methodologies.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field.
- 5+ years of professional experience in data engineering, with a focus on big data technologies.
- Proven experience in designing and building scalable data pipelines using tools like Apache Spark, Kafka, or Flink.
- Strong proficiency in SQL and experience with various database technologies (relational and NoSQL).
- Hands-on experience with cloud data services (e.g., AWS Redshift, S3, Glue; Azure Data Factory, Synapse; Google BigQuery, Cloud Storage).
- Experience with ETL/ELT tools and techniques.
- Knowledge of data warehousing concepts and best practices.
- Proficiency in programming languages commonly used in data engineering, such as Python or Scala.
- Experience with containerization (Docker) and orchestration (Kubernetes) is a plus.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration abilities.
- Familiarity with Agile development methodologies.
Our client offers a competitive salary, comprehensive health and wellness benefits, performance bonuses, and excellent opportunities for professional growth and development. You will work on challenging and impactful projects, contribute to a data-driven culture, and have the opportunity to shape our data infrastructure. Enjoy a dynamic work environment and be part of a team that values innovation and collaboration in Aba .
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7
Job Description
About the Role Our client is seeking a talented and driven AI/ML Engineer with a strong focus on data pipelines to join their dynamic team in Akure, Ondo, NG . This role is integral to building and maintaining the robust data infrastructure that powers our advanced AI models. You will be responsible for designing, developing, and optimizing data ingestion, transformation, and processing pipelines to ensure high-quality data for machine learning applications. The ideal candidate will possess a solid understanding of data engineering principles, experience with big data technologies, and proficiency in machine learning workflows. This position offers a significant opportunity to contribute to cutting-edge AI projects within a collaborative and innovative environment located in Akure . You will play a key role in ensuring the efficiency and scalability of our data systems. Key Responsibilities
- Design, build, and maintain scalable and reliable data pipelines for AI/ML workloads.
- Develop and implement ETL/ELT processes for ingesting, transforming, and preparing data from various sources.
- Optimize data pipeline performance and ensure data quality and integrity.
- Collaborate with data scientists and ML engineers to understand data requirements and deliver robust data solutions.
- Implement monitoring and alerting systems for data pipelines to ensure operational stability.
- Work with big data technologies such as Spark, Hadoop, and distributed databases.
- Develop and deploy machine learning models into production environments, ensuring seamless integration with data pipelines.
- Automate data processes and workflows using scripting and orchestration tools.
- Stay up-to-date with the latest trends and best practices in data engineering and MLOps.
- Contribute to the development of data governance and security policies.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
- 2+ years of experience in data engineering or machine learning engineering with a focus on data pipelines.
- Proficiency in Python and SQL.
- Experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Understanding of machine learning concepts and workflows.
- Experience with data pipeline orchestration tools (e.g., Airflow, Luigi).
- Strong problem-solving and analytical skills.
- Excellent collaboration and communication skills.
- Experience with containerization technologies like Docker is a plus.
- Competitive salary and performance-based incentives.
- Comprehensive health insurance package.
- Opportunities for professional growth and development.
- A hybrid work model offering flexibility.
- Exposure to innovative AI projects in Akure, Ondo, NG .
- Supportive and collaborative team environment.
- Paid time off and holidays.
- Regular team events and social activities.
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8
Lead Data Scientist & Machine Learning Engineer
900102 Abuja
Placements24
Posted 4 days ago
Job Viewed
Job Description
About the Role
Our client, WhatJobs Direct, a premier recruitment consultancy, is searching for an exceptional Lead Data Scientist & Machine Learning Engineer to spearhead a new data analytics initiative in Abuja . This senior role is designed for a visionary leader who can define the data strategy, build and mentor a team of data professionals, and drive data-driven decision-making across the organization. You will be at the forefront of leveraging advanced analytics, machine learning, and artificial intelligence to solve complex business problems and create significant value. This is a critical, office-based position requiring full engagement with the team and stakeholders in the Federal Capital Territory. The successful candidate will have a profound impact on the company's strategic direction and technological advancement.
Key Responsibilities- Lead the design, development, and implementation of sophisticated machine learning models and AI solutions to address key business challenges.
- Build, manage, and mentor a high-performing team of data scientists and engineers, fostering a culture of innovation and technical excellence.
- Define and drive the company's data strategy, including data governance, infrastructure, and tooling.
- Collaborate with cross-functional teams (product, engineering, marketing) to identify opportunities for data science applications and translate business needs into analytical projects.
- Oversee the entire data science project lifecycle, from problem definition and data collection to model deployment and monitoring.
- Conduct rigorous data exploration, feature engineering, and model validation to ensure accuracy and reliability.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences, including senior leadership.
- Stay current with the latest advancements in data science, machine learning, and AI, and evaluate their potential application for the business.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of progressive experience in data science and machine learning, with a proven track record of leading projects and teams.
- Extensive experience with programming languages such as Python or R, and libraries like TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
- Deep understanding of statistical modeling, machine learning algorithms, and deep learning techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong SQL skills and experience with database management.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven leadership and team management capabilities.
- Strong communication and presentation skills, with the ability to influence stakeholders at all levels.
- Experience working in Abuja or understanding the Nigerian business environment is a plus.
This role offers a highly competitive salary and the opportunity to shape the data science function within a growing organization. You will work with cutting-edge technology and have significant autonomy in defining project direction and team strategy. Our client provides a stimulating work environment in Abuja , conducive to innovation and professional growth. Benefits include comprehensive health coverage, performance bonuses, and opportunities for continued learning and development. Be a key player in driving data-driven transformation in Nigeria's capital city.
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9