Data Scientist Tutor Jobs

Have a min. 2-3 years of work experience in a data-related industry.

Data Analyst / Data Scientist

Have a bachelor’s degree in Computer Science, Informatics, Mathematics, or Statistics.

Machine learning models and how they work.

Able to effectively synthesize, visualize, and communicate your ideas to others, including non-technical audiences.

Able to work in Jakarta

Minimum 1-year experience in a data role (data scientist or data analyst).

Strong algorithm foundation and good analytical as well as problem-solving abilities.

Excellent written and verbal communication skills in delivering the materials.

Good knowledge of statistical data analysis (descriptive and inferential statistics).

Having experience with BI tools (Power BI, Tableau, GDS, etc.) will be an advantage.

Having experience with GCP, Azure, or AWS ecosystems is a plus.

Domain knowledge in credit scoring, risk or loan portfolio management

3+ years of experience of applied Quantitative Analysis, Statistical Analysis or Modelling

Experience working with relational SQL databases

Excellent communication skills (Bahasa Indonesia and English)

Experience with A/B testing and experimentation

Nice To Have Experience In Any Of The Following

Collaborate with cross-functional teams to understand business requirements and translate them into data science tasks.

Develop technical specifications from functional requirements.

Proven experience as a data scientist, preferably in a startup setting.

Experience with big data technologies and cloud computing platforms.

Lead the planning, development, and implementation of data-driven solutions using GPT API and other LLMs.

Implement data quality and integrity controls, assuring peak performance, reliability, and responsiveness.

Develop predictive and prescriptive models to optimize business processes, improve customer experiences, and drive strategic decision-making

Strong problem-solving skills and the ability to think critically to identify opportunities for business improvement

Collaborate with cross-functional teams to identify and define business problems that can be addressed through data science

Communicate findings and insights to both technical and non-technical stakeholders

Stay updated with the latest advancements in data science to continually improve and innovate

Minimum bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) or related fields

Design & create machine learning models to solve business/product problems or requirements in ecommerce and digital marketing domains

Has experience working as Data Scientist min. 5 years

Strong analytical skills related to working with structure and unstructured datasets

Experience on using Spark for Big Data

Experience with cloud service : AWS, Azure, GCP

Identify and analyze varied types of data to discover trends and patterns

Work and collaborate with the data team (data analyst, data engineer) and other team (project manager) to successfully deliver the project.

1-3 years of experience in Data Science and Machine Learning.

Have experience or strong interest in NLP and Text Processing.

Experience with Python programming languages including machine learning libraries such as Pandas, Numpy, Scikit-learn, Pytorch, Spacy, NLTK.

Strong Knowledge of SQL Query Language (BigQuery/PostgreSQL/MySQL/SQL Server).

Experience in AI/ML Deployment such as API Serving (FastAPI/Flask) is a plus.

We are Hacklab Rocks, a tech talent management company.

- Experience with distributed systems and processing large-scale datasets

- Excellent analytical and problem-solving skills

We're hiring the best candidate for position:

- Bachelor's degree in Computer Science, Information Systems, or a related field

- Min. 1 years or more as Data Engineer or relevant field

Excellent understanding of machine learning techniques and algorithms and experience with common data science toolkits

Experience in R/ Python with machine learning/ Neural network algorithms

Experience using business intelligence tools

Experience with data visualization tools

Has expert technical knowledge (statistical models and data science techniques) and has broad knowledge of all business processes.

Has advanced technical knowledge related to the job role. Pro-actively shares ideas and insights across the team.

Prior experience with applied statistics, experimental design

Deep-dive into analysis to support engineering & business decisions

Build self-serve data products such as dashboards and tables to reduce time to insights

Develop theoretical models to better understand our customers’ use-cases and needs

Bachelor’s/Master’s degree in a quantitative discipline including but not restricted to Statistics/ Econometrics / Mathematics / Physics / Computer Science

Proficiency in a programming language (either R, Python, including classical ML / Statistical libraries) and familiarity with SQL

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.

Analyze raw data: assessing quality, cleansing, structuring for downstream processing( can be text or numeric data)

Checking data : mispelled, typo, duplication data

Undergraduates from any major who interest in data scientist

Discipline & Meticulously in Data

Know Pyhton programming language will be a plus

Proficiency in using Microsoft Office ( Excel & Word )

Experience designing, developing/training and deploying production-level models

Past experience with NLP is a plus

Strong analytical, critical thinking, and problem-solving skills

Analyze and identify areas that can be improved

Design, build, and maintain production machine learning models

Coordinate with other teams, specifically the engineering team, to integrate models into various existing processes

Strong experience in Python & Flask

Strong experience in Shell scripting

Strong experience in Python Data Science toolkit (e.g. Sklearn, Tensorflow, and Pytorch)

Having experience in handling text data is plus

Identifying the problem and turning it into a solution based on data

Building a machine learning model based on the latest research trend

- 3+ years of experience in data science, with a focus on machine learning and NLP

- Strong programming skills in Python, R, or another statistical programming language.

- Strong communication and presentation skills.

- Bachelor's degree or Master in computer science, mathematics, statistics, or a related field

- This position is project based for 12 months

- Strong understanding of machine learning algorithms and techniques.

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

Strong math skills (e.g. statistics, algebra)

Excellent communication and presentation skills

Identify valuable data sources and automate collection processes

Undertake preprocessing of structured and unstructured data

Analyze large amounts of information to discover trends and patterns

•More than 5 years of experience in the similar position (has advanced skills in data management)

•Have technical skills in data management (can perform query).

•Have experience in creating reports and giving presentations.

•Bachelor’s degree in Economy/ Accounting/ Mathematic/ Information Technology or other related field.

•Can work as a team or individual.

Experience in data analysis as well as modelling with R, Python or similar tools

Some knowledge about data bases and SQL

Knowledge about consumer loans, in product life cycle perspective

Good communication skills and ability to use English as working language

Prior working experience from banking sector, especially from area of debt collection

Providing analyses for internal stakeholders

Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models

Collaborate with data scientists and analysts to understand their data requirements and provide technical expertise in data modeling and schema design.

Collaborate with cross-functional teams to understand business needs and translate them into technical requirements and data solutions.

Document data engineering processes, system architectures, and technical specifications to facilitate knowledge sharing and maintain data lineage.

Hands-on experience with big data processing frameworks and tools, such as Hadoop, Spark.

Experience with open-source databases, such as PostgreSQL, ClickHouse, and MongoDB.

Demonstrate good capability on data management, data analytic programming (mySQL, Phyton etc.) and data visualization tools (Tableau, Power BI etc.).

Min. 4-5 years of experience in Network function in Telco/Operator company, preferred in RAN and/or RF-related fields.

3-4 years experiences in data analytic modelling, programming, and analysis.

Use predictive modeling to increase and optimize business process, customer experiences, revenue generation and other business outcomes.

Minimum bachelor’s degree (S1) in Telecommunication Engineering.

Demonstrate good capability on GIS tools (Google Earth, MapInfo, QGIS etc.)