839 Machine Learning Consultant jobs in Indonesia

Minimum Qualifications and Experience

The Requierement :

• Can communicate in English (basic communication)
• Have experience working professionally for at least 2 years
• Full remote work (WFH)
• Available during office hours
• No issues in working for financial services (banking, insurance, etc)
• Experience with deep learning and associated tools and technologies, demonstrated experience in Python and/or R
• Ability to understand business concerns and formulate them as technical problems that can be solved using data and ML
• Experience working with large data sets, coming from varied sources
• Ability to write clear and concise technical documentation

Job Description

We are hiring developers for projects with one of the biggest reputable conglomerates in Indonesia.

With us, you will be exposed to many exciting challenges and opportunities to grow through developing our websites, mobile apps, mobile websites, and applications across our business units.

Programming stack we are looking for :
Data Scientist

Do reach out to us if you believe you have the relevant skills, looking forward to working together with you

• Assist in collecting, cleaning, and pre-processing large datasets for machine learning model training.
• Develop and implement machine learning algorithms under the guidance of senior data scientists.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Evaluate model performance using various metrics and assist in model tuning and optimization.
• Contribute to the documentation of data science workflows, methodologies, and results.
• Collaborate with team members through virtual communication channels, participating in team meetings and code reviews.
• Research and stay updated on the latest advancements and techniques in data science and machine learning.
• Assist in the visualization of data and model outputs for reporting and presentation purposes.

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong understanding of fundamental machine learning concepts and algorithms (e.g., regression, classification, clustering).
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) is essential.
• Familiarity with data visualization tools and techniques.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Proactive attitude and eagerness to learn and take on new challenges.
• Prior exposure to SQL and cloud platforms (AWS, Azure, GCP) is a plus.

• Design, develop, and implement advanced machine learning models and algorithms.
• Process, clean, and transform large datasets for model training.
• Conduct feature engineering and selection to improve model accuracy.
• Evaluate and compare different ML models and techniques.
• Deploy ML models into production environments and monitor their performance.
• Collaborate with cross-functional teams to understand business needs and translate them into AI solutions.
• Stay current with the latest research and advancements in AI and machine learning.
• Develop and maintain documentation for AI models and systems.
• Contribute to the strategic direction of AI initiatives within the organization.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in developing and deploying machine learning models.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of ML concepts, algorithms, and evaluation metrics.
• Experience in areas such as NLP, computer vision, or reinforcement learning is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.
• Publications in top-tier AI conferences or journals are a plus.

GroupM is the world's largest media investment company and a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for Manager. The role will be responsible to drive the development of digital marketing research as a form of service or product for clients as well as a tool to support the growth of digital business for GroupM agencies

Reporting of the role
This role reports to Mindshare Lead

3 Best Things About The Job

• Our ideal team member will have the mathematical and statistical expertise you'd expect.
• You will join a team of data specialists, but will "slice and dice" data using your own methods, creating new visions for the future.
• Insightful data to power our systems and solutions

In Three Months
In this role, your goals will be:

• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
• Implement analytical models into production by collaborating with software developers and machine learning engineers.

In Six Months

• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Analyse data for trends and patterns, and Interpret data with a clear objective in mind

In 12 Months

• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the digital specialist team to strategize and execute the development of data products
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables

What Your Day Job Looks Like At Mindshare

• Collaborate with connection planning and digital specialists to develop an understanding of needs
• Research and devise innovative statistical and machine learning models for data analysis

What You'll Bring

• Communicate findings to all stakeholders, using relevant data visualisations
• Enable smarter business processes—and implement analytics for meaningful insights
• Keep current with technical and industry developments

Minimum Qualifications

• Bachelor's degree in statistics, applied mathematics, or related discipline
• 5+ years' experience in data science
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition, recommendation engines and predictive modelling experience
• Experience with Power BI, Tableau, SQL, and programming languages (i.e., Java/Python/R, SAS)
• Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects

requisitionid:43174

Job Title:

Data Science Engineer

About The Role:

To apply data science techniques and machine learning algorithms to solve business problems, improve decision-making, and ensure the efficient deployment of models in production.

What Will You Do:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, andoror ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining validation strategies
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

What we are looking for:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications (e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist).
• Experience with specific data science platforms (e.g., AWS Sagemaker, Google AI Platform) is a plus.

Soft Skill Requirements:

• Strong problem-solving and analytical skills.
• Effective communication skills for presenting findings to stakeholders.
• Ability to work collaboratively in a team environment.
• Adaptability and a proactive approach to problem-solving.

Technical Skill Requirements:

• Proficiency in data science tools and languages (Python, R, SQL).
• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of data processing, feature engineering, and model validation techniques.
• Experience with cloud platforms (e.g., AWS, GCP) and deployment of models to production.

Pengalaman kerja minimal 2 tahun Pendidikan minimal S1, diutamakan Teknik Komputer, Informatika, Sistem Informasi, Ilmu Komputer. Menguasai Bahasa pemrograman seperti Phyton atau R

Who are we?

Artefact is a new generation of a data service provider, specialised in data consulting and data-driven digital marketing.

Our purpose?

Every day we boost our clients' data transformation into business impact across the entire value chain of organisations.

Our strength?

Our data services stand on a double expertise: the combination of Artificial Intelligence and the business prowess acquired from our customers around the world, such as AccorHotels, Orange, Carrefour, Engie, Samsung, L'Oréal, Nissan.

Artefact's success comes from a unique mix of company assets: cutting-edge data technologies, agile methodologies for fast delivery, cohesive teams assembling the finest business consultants, data analysts, data scientists, data engineers, and digital marketing experts.

Artefact is :

• 23 offices in Paris, London, Shanghai, Dubai.
• 1700 employees
• 4 practices: Data Consulting, Data Marketing, Activation and Creation

What you will be doing:

Key responsibilities

As a Data Director, your role will encompass:

Strategic Leadership and Management

• Lead and expand the data science team, ensuring alignment with the company's strategic objectives.
• Develop and oversee the execution of ambitious data transformation projects, ensuring they meet client needs and business goals.
• Drive collaboration across different divisions—such as Activation, Creativity, and Strategy—to deliver comprehensive, integrated solutions that enhance client satisfaction and service delivery.

Client Engagement and Relationship Management

• Build and maintain senior-level relationships with clients, becoming a trusted advisor for their data strategy and transformation efforts.
• Regularly present insights and strategic recommendations to clients and internal stakeholders, showcasing the value and impact of data-driven decision-making.

Operational Excellence and Innovation

• Ensure the successful delivery of data projects, setting high standards for timeliness and quality.
• Spearhead the adoption of cutting-edge data science and data engineering technologies, methodologies, and practices.
• Promote a culture of continuous improvement and learning within the data science team, encouraging innovation and experimentation.

Team Development and Thought Leadership

• Mentor and develop team members, fostering a collaborative and empowering environment.
• Act as a thought leader in data science, contributing to the broader data science community and enhancing Artefact's reputation in the industry.
• Ensure the team's technical capabilities align with industry standards and emerging technologies, facilitating ongoing professional development and training.

Qualifications: Education & experience required

• A Master's or PhD degree in Machine Learning, Mathematics, Computer Science, or a related field.
• Over 8 years of experience in leadership roles within data science, demonstrating a proven track record of managing teams and delivering impactful data-driven solutions.
• Exceptional knowledge of data processing, data modeling, algorithms, and data architecture, with hands-on experience in managing large-scale projects.
• Strong leadership skills, with the ability to inspire, motivate, and guide team members towards achieving business and personal growth goals.
• Excellent communication and interpersonal skills, capable of engaging effectively with all levels of the organization and external clients.

In addition, you have the knowledge in one or more of the following technologies:

• Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
• You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
• Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV
• ETL tool (Airflow, Dataiku, Dataflow, Dataprep.)
• Web application (R-Shiny, Python Flask) that you have industrialized

What we are looking for

• A Doer:
  you get things done and inspire your team to do the same
• An Analyst:
  you LOVE data and think every company should take their decisions based on facts
• A Pragmatist:
  you have a no-nonsense mindset that seeks for practical and realistic solutions
• A Mentor:
  your clients and colleagues naturally seek you out for advice
• An Adventurer:
  you're an entrepreneur constantly looking for business opportunities

Why you should join us

• Artefact is the place to be:
  come and build the future of marketing
• Progress:
  every day offers new challenges and new opportunities to learn
• Culture:
  join the best team you could ever imagine
• Entrepreneurship:
  you will be joining a team of driven entrepreneurs. We won't give up until we make a huge dent in this industry

Come join us

GroupM is the world's largest media investment company and a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for Manager. The role will be responsible to drive the development of digital marketing research as a form of service or product for clients as well as a tool to support the growth of digital business for GroupM agencies

Reporting of the role

This role reports to Mindshare Lead

3 best things about the job:

• Our ideal team member will have the mathematical and statistical expertise you'd expect.
• You will join a team of data specialists, but will "slice and dice" data using your own methods, creating new visions for the future.
• Insightful data to power our systems and solutions

In this role, your goals will be:

In three months:

• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
• Implement analytical models into production by collaborating with software developers and machine learning engineers.

In six months:

• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Analyse data for trends and patterns, and Interpret data with a clear objective in mind

In 12 months:

• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the digital specialist team to strategize and execute the development of data products
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables

What your day job looks like at Mindshare:

• Collaborate with connection planning and digital specialists to develop an understanding of needs
• Research and devise innovative statistical and machine learning models for data analysis

What you'll bring:

• Communicate findings to all stakeholders, using relevant data visualisations
• Enable smarter business processes—and implement analytics for meaningful insights
• Keep current with technical and industry developments

Minimum qualifications:

• Bachelor's degree in statistics, applied mathematics, or related discipline
• 5+ years' experience in data science
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition, recommendation engines and predictive modelling experience
• Experience with Power BI, Tableau, SQL, and programming languages (i.e., Java/Python/R, SAS)
• Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects

About The Role:

To apply data science techniques and machine learning algorithms to solve business problems, improve decision-making, and ensure the efficient deployment of models in production.

What Will You Do:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, andoror ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining validation strategies
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

Minimum Qualifications: What we are looking for:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications (e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist).
• Experience with specific data science platforms (e.g., AWS Sagemaker, Google AI Platform) is a plus.
  Willing to work in Jakarta Office
• Technical Skill Requirements:
• Proficiency in data science tools and languages (Python, R, SQL).
• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of data processing, feature engineering, and model validation techniques.
• Experience with cloud platforms (e.g., AWS, GCP) and deployment of models to production.

Soft Skill Requirements:

• Strong problem-solving and analytical skills.
• Effective communication skills for presenting findings to stakeholders.
• Ability to work collaboratively in a team environment.
• Adaptability and a proactive approach to problem-solving.

The transaction is the lungs of the breathing economy, that is why our first step starts with a big dream to pave the way towards freedom of transaction. Since 2007, DOKU has been the first electronic payment system and risk management company in Indonesia. From paying and getting paid to transfer funds, all are possible with DOKU. For more than one decade, we have grown together alongside large and medium scaled companies to personal sellers from various lines of business, ranging from transportation, tourism, insurance, retail, donation, communities, and many more. Collaboration with partners such as local and international banks, also non-banking institutions has strengthened our reputation as a trusted local electronic payment solution. Our business grows together with our partners' businesses. Thus we have built a payment ecosystem that is supportive and strengthens theirs. The formation of three product pillars that responds to all business needs across all layers of society has marked our transformation from "The Better Way to Pay" becoming "Think Beyond Payments". The three winning product pillars comprise Payment Gateway and Transfer Services for Corporate, SMEs, Start-ups, and Local and International MSMEs. The last product pillar, Collaborative Commerce, is designed to empower communities and personal usage.