Data Science Consultant Jobs

At least 2 years of working experience in the area of Data Analytics/Data Warehouse/Big Data/Data Science

Strong communication skills (Bahasa Indonesia & English)

Bachelor or master’s degree in Statistics, Mathematics, Engineering, Computer Science, Science or similar advanced degree is preferred

Familiar with big data platform including Data Lake

Exposure to visualization and dashboarding tools like Tableau, Metabase, Google Data Studio, power BI etc is a plus.

Good team player and highly adaptable to change

People management experience of a small team (2-3) of data scientists / analysts

6+ years of datascience experiencewith around 3 years’experience inleading/managingData Science team, and AdvancedAnalytics

Strong programming and scripting skills (Python, R, Spark)

Good applied statistics and experimental design skills, such as statistical testing, control/test planning

Experience with common data science toolkits (Jupyter notebook, Pandas, Scikit-learn, Numpy)

Knowledge of MLOps and ML pipelines on AWS cloud is a plus

Experience working as an analyst using Python;

Experience working with machine learning projects for more than a year;

Sharing experience with professionals in our community;

Cross-cultural work experience in mentoring and conducting webinars;

Familiar with the Pandas, NumPy, Matplotlib, Sklearn libraries;

Readiness to dedicate at least 10 hours a week to review the student code.

Strong communication and teaching skills to effectively convey complex ideas to learners.

Previous experience in teaching, training, or mentoring is a plus, but fresh graduates with a passion for teaching are also welcome.

Location: Remote (Work From Anywhere)

Conduct online training sessions on various Data Science topics for a diverse audience.

Develop and deliver engaging and interactive training materials.

Provide mentorship and guidance to learners, assisting them in understanding complex concepts.

At least 2 years as of working experience in the area of Data Analytics/Data Warehouse/Big Data/Data Science

Strong communication skills (Bahasa Indonesia & English)

Bachelor or master’s degree in Statistics, Mathematics, Engineering, Computer Science, Science or similar advanced degree is preferred

Familiar with big data platform including Data Lake

Exposure to visualization and dashboarding tools like Tableau, Metabase, Google Data Studio, power BI etc is a plus.

Good team player and highly adaptable to change

Mampu memanage team dan koordinasi dengan team lainnya

Minimal S1 dengan IPK 3.00, dengan jurusan Teknik informasi

Memiliki pengalaman 2 tahun data scientist / big data

Dapat menggunakan data visualization tools akan menjadi poin plus.

Memiliki kemampuan dan keinginan untuk mempelajari hal baru

Dapat bekerja secara efisien dan memberikan pengarahan technical ke team.

Excellent stakeholder management skills, collaborating effectively with cross-functional teams.

Utilize your strong data analysis skills to extract actionable insights from diverse datasets, contributing to evidence-based decision-making.

Drive improvements in risk assessment timelines, allowing for faster decision-making and improved customer experience.

Proven experience as a Decision Science Analyst, with a focus on credit risk modeling, data analysis, and business intelligence.

Experience in machine learning, data visualization, and statistical techniques.

Exceptional problem-solving abilities and attention to detail.

Strong work ethic, organizational, financial, and time management skills;

Provide support to KI regional (field) team on implementation of the project activities on MPA design and management.

Excellent written and verbal communication skills in English and Bahasa Indonesia.

Having experience working in an interdisciplinary research project;

Excellent interpersonal and communication skills for stakeholder engagement and community outreach.

List additional required or preferred qualifications specific to the position.

Strong communication skills and project management.

Share knowledge to contribute to help improve the team capabilities.

Experience with data science programming skills with Python.

Own and manage data projects throughout the data science development life cycle.

Comfortable working in an agile environment and have working experience with Agile/Scrum.

Explore, research, and design for solutions to complex business problems.

Gain experience with data warehousing solutions

Acquire software skills to ETL data

Outstanding analytical skills in working with unstructured datasets

Develop data models and master data references

Extract, Tra nsform and Load (ETL) into data warehouses

Design, Develop and Automate ETL processes

Working experience as a Data Scientist at least 3 years

Strong knowledge of Data Cleansing (Numpy and Pandas) and Machine Learning (Gradio)

Having a previous experience on teaching or mentoring is a bonus

Good written & verbal communication skills

Facilitating: Facilitate an engaging and enjoyable learning process through in-class discussion and other learning activities.

Assessment: You are responsible to assess & give constructive feedback for our students.

Minimum 5 years of relevant experience in data science, with at least 2 years of leadership experience

Strong knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc

Strong SQL and noSQL skills

Experience in working with large datasets and distributed computing environments

Great communication skills with the ability to explain complex concepts to non-technical stakeholders

Lead the development and implementation of large language models for Populix's products and services

Minimum 7 years of working experience in the field of Artificial Intelligence/Data Science/Machine Learning or relevant field

Spearheaded Data Science team to create new Al/the machine learning-based inventions or new technology to solve business problems

Set roadmap and milestones for data science utilization to improve business effectiveness and efficiency

Identify and understand the business problems to determine how AI and technology solves the problems

Perform research and development in the field of Al to develop a new prototype

Identify the impact of AI solutions on business performance

Handling student questions, inquiries, and potential student offer

Minimum have a short of time (6-12 month) EXPERIENCED as Data Analyst or Data Scientist or Similar Field

Excellent phone and presentation skills.

Good negotiation and problem-solving skills.

Data Analyst Consultant (PART TIME) Responsibilities:

Setting student's career goals and developing student by providing them career advices

Responsible for maintaining Algoritma's Class Management System to meet the SLA for student assignment grading.

Exposed to statistical tools, computational programming, database management, or software engineering.

Contribute to developing Algoritma educational content in data science for a network of Alumni or Corporate Clients.

Experience in data analysis, data mining, and machine learning projects will be a plus.

Experienced with SQL, R or Python.

Complete the Data Science Trainee development program Algoritma Instructor and Course Producer designed.

Gain broad experience through rotation across functions.

Good knowledge in applying database in data analytics using SQL (Oracle, MySQL, Hive, etc)

Strong analytical, critical thinking, and planning skills;

Good communication and presentation skills in English;

Unleash impactful insights through purposeful and data-driven projects.

Get the opportunity to be mentored by passionate experts (Indonesian and Foreigner)

Monitor, Maintain relationship and manage communication with students and SMEs, Mentors to accommodate their questions, challenges, and feedbacks

Minimum 3-5 years of experience as Data Scientist/Business Intelligence Analyst Practitioner or Trainer. Experienced in Consulting Firms/IT Training/University is highly preferred

Strong literacy, communication both written and oral (English and Bahasa), presentation, and data analysis (qualitative and quantitative) skill

Researching and developing work-relevant learning curriculum, contents, and assessments for students

Deliver engaging, enjoyable, high-quality learning facilitations

Understanding partner’s data-driven business needs, develop and present concepts, as well as monitor the project succession

Has at least 12+ years of (consulting) experience focused on Data and Analytics.

Experienced in working in a hybrid cloud environment and exposure to Big Data framework is a must.

Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala

Knowledge of various ETL techniques and frameworks, such as Flume and stream processing systems like Storm or Spark-Streaming

Extensive development expertise in Spark and other Big Data processing frameworks (Hadoop, Storm, Kafka, etc.)

Required Professional And Technical Expertise

Moderating and consulting colleagues in the student experience team (reviewers, tutors)

Python analyst with at least 2 years of experience

Cross-cultural work experience in Data science, mentoring and public speaking

What can we offer you?

Video webinars (once-twice a week)

Live-coding sessions (1 live session every 2 weeks)

This is for a Fintech client with Series A funding. Data scientist roles and responsibilities include:

Data mining or extracting usable data from valuable data sources

Using machine learning tools to select features, create and optimize classifiers

Carrying out preprocessing of structured and unstructured data

Enhancing data collection procedures to include all relevant information for developing analytic systems

Processing, cleansing, and validating the integrity of data to be used for analysis